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DTSTART;TZID=Europe/Vienna:20260513T200000
DTEND;TZID=Europe/Vienna:20260513T210000
DTSTAMP:20260526T230003
CREATED:20260513T100705Z
LAST-MODIFIED:20260519T145221Z
UID:247865-1778702400-1778706000@graphwise.ai
SUMMARY:The Context Layer: The Emerging Stack for Context-Aware AI
DESCRIPTION:Live TALK\n			\n				\n				\n				\n				\n				Using iiRDs to publish intelligent Content as a Service\n			\n				\n				\n				\n				\n				Use cases and discussion\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						April 4\, 2025\n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						Vienna | 9:30 a.m. – 10:30 a.m. CEST\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Using iiRDS to Publish Intelligent Content as a Service \nThe requirements for the provision of content for technical communication have steadily increased in recent years. Manufacturers are becoming service companies and documentation is gaining a relevance that goes beyond the fulfilment of legal obligations. The shortage of skilled labour means that technical documentation is also becoming relevant in the context of training and further education activities. This means that\, on the one hand\, the user-related or context-related provision of content is becoming increasingly relevant and\, on the other hand\, the combination of content from different sources is becoming more and more important. \nWe will show use cases on how iiRDS can be used as the backbone for delivery for creating intelligent content graphs (as the basis for digital twins) that offer content as a service by combining content and knowledge graphs. This should provide a basis for discussion and knowledge sharing. \nKey Takeaways: \n\nWhy iiRDS and intelligent content is needed to provide a better content delivery\nHow to turn content into an intelligent content graph\nSome use cases that can be covered in this combination\nHow graphRAG solutions benefit from it how the model was built\n\n(informationenergy.org)\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register Now\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/the-context-layer-the-emerging-stack-for-context-aware-ai/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/04/CIDM-x-Graphwise_Webinar_-2000-x-1000-px-4-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260510
DTEND;VALUE=DATE:20260515
DTSTAMP:20260526T230003
CREATED:20260324T121034Z
LAST-MODIFIED:20260326T101503Z
UID:247508-1778371200-1778803199@graphwise.ai
SUMMARY:23rd European Semantic Web Conference (ESWC)
DESCRIPTION:Meet Graphwise at ESWC 2026\nGraphwise is excited to take part in the 23rd European Semantic Web Conference (ESWC 2026)\, May 10–14\, 2026\, in Dubrovnik\, Croatia. \nESWC is a premier conference bringing together researchers\, practitioners\, and industry leaders working at the intersection of semantic technologies\, knowledge graphs\, and AI. \nGraphwise at ESWC 2026\nGraphwise will be represented by our President\, Atanas Kiryakov\, will be taking the stage as a speaker\, bringing his deep expertise in semantic databases\, knowledge graphs\, and the broader vision behind Graphwise. Our topic is “Semantic Backbone: The Enterprise-Wide Knowledge and Trust Layer”. For more info about the speaking session\, check the conference page. \nLet’s Connect!\nPlanning to attend ESWC 2026 in Dubrovnik? We’d love to connect with you! Submit the form below and we’ll reach out to schedule a time to meet at the event: whether over a coffee\, around Atanas’s session\, or anywhere in between.
URL:https://graphwise.ai/event/23rd-european-semantic-web-conference-eswc/
LOCATION:Royal Princess Hotel Dubrovnik\, Ul. kardinala Stepinca 31a\, 20000\, Dubrovnik\, 20000\, Croatia (Local Name: Hrvatska)
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/03/Copy-of-Featured-img-2000x1000-1-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260504
DTEND;VALUE=DATE:20260509
DTSTAMP:20260526T230003
CREATED:20260122T164015Z
LAST-MODIFIED:20260428T111937Z
UID:245080-1777852800-1778284799@graphwise.ai
SUMMARY:Knowledge Graph Conference 2026
DESCRIPTION:Meet Graphwise at The Knowledge Graph Conference 2026\nGraphwise is excited to take part in the seventh edition of The Knowledge Graph Conference (KGC) 2026\, May 4-8\, 2026\, hosted at the Cornell Tech Executive Education Center in New York City\, with virtual attendance available worldwide. \nThe Knowledge Graph Conference is a global gathering for practitioners\, researchers\, and industry leaders working with knowledge graphs\, semantic technologies\, and data-driven AI. Over five days\, attendees can take part in masterclasses\, workshops\, and expert-led sessions that combine thought leadership with hands-on\, real-world applications. \nMeet the Graphwise Team\nGraphwise will be actively involved throughout the conference. We’ll be delivering presentations\, hosting a hands-on workshop\, and you’ll also be able to meet us at our booth during the event. \nOur speaking sessions\nMay 6\, 11:35 AM – 12:00 PMKeynote From Differentiator to Necessity — The Semantic BackboneSpeaker: Atanas Kiryakov\, President at Graphwise \nOntologies got trendy. Amid AI-driven change\, one need is constant: capturing meaning and unlocking the value of enterprise information. What was once a differentiating capability is now foundational infrastructure. Drawing on a year of real-world deployments across banking\, manufacturing\, and infrastructure management\, Atanas will cover: semantic backbones as knowledge hubs\, metadata hubs\, and shared world models for agentic AI; measurable business impact; the Graphwise Platform built on 20+ years of experience; and go-to-market opportunities for the community. \nMay 5\, 9:00 AM – 10:30 AMWorkshop GraphRAG — Why\, When and How? · Knowledge-Enhanced AI SystemsSpeaker: Peio Popov\, FSI Vertical Lead at Graphwise \nA hands-on deep dive moving from the honest limitations of LLMs\, vectors\, and full-text search\, through the theory of semantic layers\, to a live implementation walkthrough with demos at every step. Part 1 covers the why: a head-to-head retrieval comparison\, why your metadata matters more than your RAG variant\, and how AI can accelerate building a semantic backbone. Part 2 is the hands-on how: implementation methodology from competency questions to deployment\, quality pillars (completeness\, accuracy\, consistency\, provenance)\, and a live demo of the full ingestion-to-validation pipeline including human-in-the-loop review. \nFind our team at the Booth#5\nYou will meet on-sight Alisa Kepner\, Enterprise Account Executive-East and Martin Trajkov\, Director Partner Sales USA. \nLet’s Connect\nPlanning to attend The Knowledge Graph Conference (KGC) 2026? We’d love to connect with you! Submit the form below and we’ll reach out to schedule a time to meet at the event\, whether at our booth\, during a coffee break\, or around our speaking session.
URL:https://graphwise.ai/event/knowledge-graph-conference-2026/
LOCATION:Cornell Tech Executive Education Center\, 34 N Loop Rd\, New York\, NY 10044
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/01/KMWorld-Taxonomy-4.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260429T180000
DTEND;TZID=Europe/Vienna:20260429T190000
DTSTAMP:20260526T230003
CREATED:20260426T151912Z
LAST-MODIFIED:20260518T130709Z
UID:247349-1777485600-1777489200@graphwise.ai
SUMMARY:Metadata That Works: How Semantics and SharePoint Can Rebuild Organizational Trust
DESCRIPTION:Live TALK\n			\n				\n				\n				\n				\n				Using iiRDs to publish intelligent Content as a Service\n			\n				\n				\n				\n				\n				Use cases and discussion\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						April 4\, 2025\n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						Vienna | 9:30 a.m. – 10:30 a.m. CEST\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Using iiRDS to Publish Intelligent Content as a Service \nThe requirements for the provision of content for technical communication have steadily increased in recent years. Manufacturers are becoming service companies and documentation is gaining a relevance that goes beyond the fulfilment of legal obligations. The shortage of skilled labour means that technical documentation is also becoming relevant in the context of training and further education activities. This means that\, on the one hand\, the user-related or context-related provision of content is becoming increasingly relevant and\, on the other hand\, the combination of content from different sources is becoming more and more important. \nWe will show use cases on how iiRDS can be used as the backbone for delivery for creating intelligent content graphs (as the basis for digital twins) that offer content as a service by combining content and knowledge graphs. This should provide a basis for discussion and knowledge sharing. \nKey Takeaways: \n\nWhy iiRDS and intelligent content is needed to provide a better content delivery\nHow to turn content into an intelligent content graph\nSome use cases that can be covered in this combination\nHow graphRAG solutions benefit from it how the model was built\n\n(informationenergy.org)\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register Now\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/metadata-that-works-how-semantics-and-sharepoint-can-rebuild-organizational-trust/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/03/CIDM-x-Graphwise_Webinar_-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260424T130000
DTEND;TZID=Europe/Vienna:20260424T134000
DTSTAMP:20260526T230003
CREATED:20260318T163701Z
LAST-MODIFIED:20260323T131341Z
UID:247382-1777035600-1777038000@graphwise.ai
SUMMARY:iiRDS as a Bridge Between DITA\, Markdown and File Based Content for a Complete Information Provision
DESCRIPTION:Live TALK\n			\n				\n				\n				\n				\n				Using iiRDs to publish intelligent Content as a Service\n			\n				\n				\n				\n				\n				Use cases and discussion\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						April 4\, 2025\n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						Vienna | 9:30 a.m. – 10:30 a.m. CEST\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Using iiRDS to Publish Intelligent Content as a Service \nThe requirements for the provision of content for technical communication have steadily increased in recent years. Manufacturers are becoming service companies and documentation is gaining a relevance that goes beyond the fulfilment of legal obligations. The shortage of skilled labour means that technical documentation is also becoming relevant in the context of training and further education activities. This means that\, on the one hand\, the user-related or context-related provision of content is becoming increasingly relevant and\, on the other hand\, the combination of content from different sources is becoming more and more important. \nWe will show use cases on how iiRDS can be used as the backbone for delivery for creating intelligent content graphs (as the basis for digital twins) that offer content as a service by combining content and knowledge graphs. This should provide a basis for discussion and knowledge sharing. \nKey Takeaways: \n\nWhy iiRDS and intelligent content is needed to provide a better content delivery\nHow to turn content into an intelligent content graph\nSome use cases that can be covered in this combination\nHow graphRAG solutions benefit from it how the model was built\n\n(informationenergy.org)\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register Now\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/iirds-as-a-bridge-between-dita-markdown-and-file-based-content-for-a-complete-information-provision/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://graphwise.ai/wp-content/uploads/2026/03/csm_ie26-hero-links_7a37ca7679.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260421T160000
DTEND;TZID=Europe/Vienna:20260421T170000
DTSTAMP:20260526T230003
CREATED:20260421T131246Z
LAST-MODIFIED:20260504T063553Z
UID:246953-1776787200-1776790800@graphwise.ai
SUMMARY:Taxonomy in the Age of AI
DESCRIPTION:Live WEBINAR \n			\n				\n				\n				\n				\n				Webinar title\n			\n				\n				\n				\n				\n				Unlocking Seamless Collaboration with Microsoft 365 Copilot \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						February 26\, 2025 \n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 7:00 a.m. – 8:00 a.m. PST\nNew York | 10:00 a.m. – 11:00 a.m. EST\nVienna | 4:00 p.m. – 5:00 p.m. CET \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				PoolParty for SharePoint is now Graphwise for M365 \nUnlock the full potential of Microsoft 365 with Graphwise’s cutting-edge Semantic AI technology\, designed to revolutionize the way you manage and interact with your digital content – imagine transforming your content management experience into a seamless\, efficient\, and highly intuitive process and integrate with MS Teams and MS Copilot. \nDiscover Effortless Teamwork with Graphwise for Microsoft 365 – Elevate Your Experience with MS Teams and MS Copilot \nStep into the future of metadata management as PoolParty for SharePoint evolves into the innovative Graphwise for Microsoft 365. \nGraphwise for M365 enhances the flow of information by bringing knowledge graphs into the M635 ecosystem and employing intelligent semantic search capabilities\, allowing you to find exactly what you need\, when you need it. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Discover the unparalleled features of Graphwise for M365:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Custom and managed metadata tags in the Microsoft term store \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Automated\, explainable and deterministic multi-taxonomy tagging for new and legacy content \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Custom connectors for the Microsoft Power Platform \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Develop customer flows for Microsoft Teams to tag documents  \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Semantic search enabled in Microsoft Teams documents \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Microsoft Copilot native integration  \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						And much more! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				In just a few hours\, Graphwise’s revolutionary solution transforms your workflow by seamlessly organizing your M365 documents\, curating content specifically for your needs\, conducting in-depth semantic searches that unlock hidden insights\, and enhancing your files with valuable information from external sources. Welcome to a new era of content management and take your M365 experience to unparalleled heights with Graphwise. \nRegister now to be among the first to learn about Graphwise for M365!\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register for the webinar\n			\n				\n				\n				\n				\n				In the meantime\, have a look at our PoolParty for SharePoint product page to learn more about our other products and bundles. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/taxonomy-in-the-age-of-ai/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/03/Graphwise_Webinar_KMWorld-Europe-2026_April_2026_2000x1000-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260414
DTEND;VALUE=DATE:20260416
DTSTAMP:20260526T230003
CREATED:20260121T120254Z
LAST-MODIFIED:20260324T110612Z
UID:244961-1776124800-1776297599@graphwise.ai
SUMMARY:KMWorld Europe and Taxonomy Bootcamp 2026
DESCRIPTION:Meet Graphwise at KMWorld Europe and Taxonomy Bootcamp 2026\nGraphwise is excited to participate as a sponsor at KMWorld Europe and as a speaker at Taxonomy Bootcamp 2026\, taking place April 14-15\, 2026\, in London\, UK. \nMaking their UK debut\, KMWorld Europe and Taxonomy Bootcamp bring together leading voices in knowledge and information management to explore how organizations can unlock the power of knowledge sharing to drive innovation\, efficiency\, and growth. \nGraphwise will be on-site throughout the event days\, and we’d love to meet you. Stop by our booth to talk with the team\, learn how we apply knowledge graphs and AI in practice\, or discuss your own knowledge management challenges. Booth number and location will be shared closer to the event. \nGraphwise Speaking Sessions\nGraphwise will be delivering multiple talks across Taxonomy Bootcamp and KMWorld Europe. \nTaxonomy Bootcamp (detailed program)\nTeodora Petkova\, Knowledge Steward at GraphwiseWhen? Tuesday\, April 14 | 14:30–15:30 (UK time)Session: Writing with Knowledge Graphs in Mind  \nHelmut Nagy\, VP Sales Enablement at GraphwiseWhen? Tuesday\, April 15 | 14:30–15:15 (UK time)Session: An enterprise knowledge graph as the semantic layer driving a company’s AI infrastructure \nKMWorld Europe (detailed program)\nHelmut Nagy\, VP Sales Enablement at GraphwiseSession: How an Agentic Knowledge Hub Infrastructure Fosters Employee EnablementWhen? Tuesday\, April 14 | 11:30–12:15 (UK time) \nJoin Graphwise for a relaxed networking evening in London!\nApril 14 · 7:00–11:00 PMVinoteca City\, London \nDrinks\, bites\, and great conversation with a curated group—no agenda\, just connection. Spots are limited.Claim your seat here. \nLet’s Connect\nPlanning to attend KMWorld and Taxonomy Bootcamp this year? We’d love to connect with you! Submit the form below and we’ll reach out to schedule a time to meet at the event\, whether at our booth\, during a coffee break\, or around our speaking session.
URL:https://graphwise.ai/event/kmworld-europe-and-taxonomy-bootcamp-2026/
LOCATION:America Square Conference Centre\, One\, 17 Crosswall\, America Square\, London\, United Kingdom
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/01/KMWorld-Taxonomy-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260409T160000
DTEND;TZID=Europe/Vienna:20260409T170000
DTSTAMP:20260526T230003
CREATED:20260409T155948Z
LAST-MODIFIED:20260525T093432Z
UID:246931-1775750400-1775754000@graphwise.ai
SUMMARY:Introduction to The Strategic Use Cases
DESCRIPTION:Live WEBINAR \n			\n				\n				\n				\n				\n				Webinar title\n			\n				\n				\n				\n				\n				Unlocking Seamless Collaboration with Microsoft 365 Copilot \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						February 26\, 2025 \n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 7:00 a.m. – 8:00 a.m. PST\nNew York | 10:00 a.m. – 11:00 a.m. EST\nVienna | 4:00 p.m. – 5:00 p.m. CET \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				PoolParty for SharePoint is now Graphwise for M365 \nUnlock the full potential of Microsoft 365 with Graphwise’s cutting-edge Semantic AI technology\, designed to revolutionize the way you manage and interact with your digital content – imagine transforming your content management experience into a seamless\, efficient\, and highly intuitive process and integrate with MS Teams and MS Copilot. \nDiscover Effortless Teamwork with Graphwise for Microsoft 365 – Elevate Your Experience with MS Teams and MS Copilot \nStep into the future of metadata management as PoolParty for SharePoint evolves into the innovative Graphwise for Microsoft 365. \nGraphwise for M365 enhances the flow of information by bringing knowledge graphs into the M635 ecosystem and employing intelligent semantic search capabilities\, allowing you to find exactly what you need\, when you need it. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Discover the unparalleled features of Graphwise for M365:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Custom and managed metadata tags in the Microsoft term store \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Automated\, explainable and deterministic multi-taxonomy tagging for new and legacy content \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Custom connectors for the Microsoft Power Platform \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Develop customer flows for Microsoft Teams to tag documents  \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Semantic search enabled in Microsoft Teams documents \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Microsoft Copilot native integration  \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						And much more! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				In just a few hours\, Graphwise’s revolutionary solution transforms your workflow by seamlessly organizing your M365 documents\, curating content specifically for your needs\, conducting in-depth semantic searches that unlock hidden insights\, and enhancing your files with valuable information from external sources. Welcome to a new era of content management and take your M365 experience to unparalleled heights with Graphwise. \nRegister now to be among the first to learn about Graphwise for M365!\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register for the webinar\n			\n				\n				\n				\n				\n				In the meantime\, have a look at our PoolParty for SharePoint product page to learn more about our other products and bundles. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/introduction-to-the-strategic-use-cases/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/03/Featured-img-2000x1000-1-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260325T160000
DTEND;TZID=Europe/Vienna:20260325T170000
DTSTAMP:20260526T230003
CREATED:20260305T092449Z
LAST-MODIFIED:20260403T104831Z
UID:246852-1774454400-1774458000@graphwise.ai
SUMMARY:Graphwise Talk#1: Agentic AI Orchestration: So\, Where's the Music?
DESCRIPTION:Live WEBINAR \n			\n				\n				\n				\n				\n				Webinar title\n			\n				\n				\n				\n				\n				Unlocking Seamless Collaboration with Microsoft 365 Copilot \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						February 26\, 2025 \n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 7:00 a.m. – 8:00 a.m. PST\nNew York | 10:00 a.m. – 11:00 a.m. EST\nVienna | 4:00 p.m. – 5:00 p.m. CET \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				PoolParty for SharePoint is now Graphwise for M365 \nUnlock the full potential of Microsoft 365 with Graphwise’s cutting-edge Semantic AI technology\, designed to revolutionize the way you manage and interact with your digital content – imagine transforming your content management experience into a seamless\, efficient\, and highly intuitive process and integrate with MS Teams and MS Copilot. \nDiscover Effortless Teamwork with Graphwise for Microsoft 365 – Elevate Your Experience with MS Teams and MS Copilot \nStep into the future of metadata management as PoolParty for SharePoint evolves into the innovative Graphwise for Microsoft 365. \nGraphwise for M365 enhances the flow of information by bringing knowledge graphs into the M635 ecosystem and employing intelligent semantic search capabilities\, allowing you to find exactly what you need\, when you need it. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Discover the unparalleled features of Graphwise for M365:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Custom and managed metadata tags in the Microsoft term store \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Automated\, explainable and deterministic multi-taxonomy tagging for new and legacy content \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Custom connectors for the Microsoft Power Platform \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Develop customer flows for Microsoft Teams to tag documents  \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Semantic search enabled in Microsoft Teams documents \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Microsoft Copilot native integration  \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						And much more! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				In just a few hours\, Graphwise’s revolutionary solution transforms your workflow by seamlessly organizing your M365 documents\, curating content specifically for your needs\, conducting in-depth semantic searches that unlock hidden insights\, and enhancing your files with valuable information from external sources. Welcome to a new era of content management and take your M365 experience to unparalleled heights with Graphwise. \nRegister now to be among the first to learn about Graphwise for M365!\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register for the webinar\n			\n				\n				\n				\n				\n				In the meantime\, have a look at our PoolParty for SharePoint product page to learn more about our other products and bundles. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/graphwise-talk-agentic-ai-orchestration-so-wheres-the-music/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/03/Graphwise_Talk_agenticAI_March_25_2000x1000px-1-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260317T160000
DTEND;TZID=Europe/Vienna:20260317T170000
DTSTAMP:20260526T230003
CREATED:20260219T085407Z
LAST-MODIFIED:20260318T081325Z
UID:246421-1773763200-1773766800@graphwise.ai
SUMMARY:Talk to Your Biomedical Data
DESCRIPTION:Live WEBINAR \n			\n				\n				\n				\n				\n				Talk to Your Biomedical Data\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						March 17\, 2026 \n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 7:00 a.m. – 8:00 a.m. PST\nNew York | 10:00 a.m. – 11:00 a.m. EST\nVienna | 4:00 p.m. – 5:00 p.m. CET \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to register for this webinar\n			\n				\n				\n				\n				\n				\n						\n						\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Biomedical researchers navigate an overwhelming landscape of data: gene ontologies\, protein databases\, disease pathways\, scattered across multiple sources and formats. Finding connections means wrestling with complexity instead of focusing on discovery. On March 17\, we’ll introduce Talk to Linked Life Data\, a solution that enables natural-language querying of complex biomedical datasets. Built on semantic web technologies and our own Linked Life Data Inventory\, it empowers researchers to explore vast\, interconnected knowledge graphs through intuitive conversation. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				We’ll show how this approach:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Uses established reference datasets (GO\, NCBI Gene\, UniProt) to normalize and interlink diverse data sources \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Hides data complexity while enabling intuitive exploration \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Helps researchers uncover disease biology and underlying mechanisms from heterogeneous\, multimodal data \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Join Ilian Uzunov\, Market Lead at Graphwise\, and Todor Primov\, Director Life-Sciences Solutions\, to see how semantic building blocks and natural language interaction are changing the way researchers gain insights from biomedical data. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register for the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/talk-to-your-biomedical-data/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/02/Graphwise_Webinar_Talk-to-Your-Biomedical-Data_March_2026_2000x1000_2.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260316
DTEND;VALUE=DATE:20260319
DTSTAMP:20260526T230003
CREATED:20260119T181811Z
LAST-MODIFIED:20260223T162955Z
UID:244846-1773619200-1773878399@graphwise.ai
SUMMARY:QCon London 2026
DESCRIPTION:Meet Graphwise at QCon London 2026\nGraphwise is excited to participate as a sponsor at QCon London 2026\, taking place March 16-18\, 2026\, in London. \nQCon London is a practitioner-led conference for senior software engineers\, architects\, and technical leaders. It brings together people who care about building reliable\, scalable systems and learning from real-world experience. \nGraphwise will be on-site throughout the event at Booth 14\, and we would love to meet you. Stop by our booth to chat with the team\, learn what we are building\, or talk through your data challenges. You are also welcome to stop by just to say hello. \nOur Speaking Session\nAvoid AI Concept Creep with a Knowledge Graph Created in Hours \nTuesday\, March 17 | 3:55 PM GMT (50 minutes)Westminster (4th Floor)Track: Sponsored Solution Track II \nModern data lakes and streaming architectures excel at handling data Volume\, Variety\, and Velocity\, but they fail to preserve the Meaning of data. In this session\, Atanas Kiryakov and Peio Popov will demonstrate how silent changes in data semantics lead to fragile AI systems and how knowledge graphs provide the solution. \nWhat you’ll learn: \n\nWhy schemas describe structure but miss semantics\, and why that matters for AI\nHow “concept creep” silently breaks downstream workflows \nHow Graphwise’s hybrid AI platform turns domain expertise into a shared\, unambiguous knowledge asset\nLive demonstrations of ontology bootstrapping\, automated data validation\, and RAG workflow design\n\nLearn more about our session here. \nLet’s Connect\nPlanning to attend QCon London? We’d love to connect with you! Submit the form below and we’ll reach out to schedule a time to meet at the event\, whether at our booth\, during a coffee break\, or around our speaking session.
URL:https://graphwise.ai/event/qcon-london-2026/
LOCATION:QEII Center\, Broad Sanctuary\, London SW1P 3EE\, United Kingdom
CATEGORIES:Event
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260311T160000
DTEND;TZID=Europe/Vienna:20260311T170000
DTSTAMP:20260526T230003
CREATED:20260130T143224Z
LAST-MODIFIED:20260312T115459Z
UID:245375-1773244800-1773248400@graphwise.ai
SUMMARY:GraphRAG That Doesn't Lie: Building Agents You Can Trust
DESCRIPTION:Live WEBINAR \n			\n				\n				\n				\n				\n				GraphRAG That Doesn’t Lie: Building Agents You Can Trust\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						March 11\, 2026\n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 7:00 a.m. – 8:00 a.m. PST\nNew York | 10:00 a.m. – 11:00 a.m. EST\nVienna | 4:00 p.m. – 5:00 p.m. CET \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to register for this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				There’s a gap between what your GraphRAG agent says and what you can trust to be true. \nIt retrieves relevant documents. It generates confident answers. But it can’t verify conflicting sources\, validate claims across your knowledge base\, or trace its reasoning back to verified facts. \nFor organizations relying on AI for critical decisions\, whether in legal research\, compliance\, strategic planning\, or customer operations\, this trust gap isn’t just frustrating. It’s dangerous. \nJoin Andrey Tagarev\, AI & Knowledge Engineer at Graphwise\, on March 11 for a hands-on demonstration of how to close this gap. Using a real-world use case built on journalistic fact-checking and disinformation debunking\, Andrey will show you an agent that navigates RAG\, taxonomies\, ontologies\, and SPARQL queries simultaneously\, moving between unstructured content and structured knowledge to deliver answers it can prove.\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				You’ll learn:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Why retrieval-augmented generation alone isn’t enough\, and how structured knowledge improves understanding\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						The architecture for combining documents with semantic knowledge graphs\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						A live build: creating a GraphRAG agent grounded in verified sources\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to construct evaluation datasets that test trust\, not just accuracy\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Fast\, confident answers aren’t valuable if they’re wrong. This session shows you how to build GraphRAG systems that stakeholders can actually rely on. \nMarch 11\, 10:00am EST / 4:00pm CET\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register for the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/graphrag-that-doesnt-lie-building-agents-you-can-trust/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/01/Featured-Image-2000x1000-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260218T160000
DTEND;TZID=Europe/Vienna:20260218T170000
DTSTAMP:20260526T230003
CREATED:20251217T115533Z
LAST-MODIFIED:20260326T113244Z
UID:244288-1771430400-1771434000@graphwise.ai
SUMMARY:Beyond the Prototype: Unpacking Scalable\, Enterprise-Ready GraphRAG at Graphwise
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Beyond the Prototype: Unpacking Scalable\, Enterprise-Ready GraphRAG at Graphwise\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						February 18\, 2026\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Enterprises keep hitting the same RAG wall: great demos\, fragile reality. Retrieval is shallow\, answers drift\, business logic disappears\, and knowledge stays siloed—leaving teams stuck in PoCs that never reach production. \nGraphRAG changes that. \nDuring this on-demand webinar “Beyond the Prototype\,” we introduce GraphRAG: the intelligence layer of the Graphwise platform. It unites LLMs\, structured knowledge\, and multiple search methods to deliver transparent\, verifiable\, enterprise-ready answers. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				You’ll learn how GraphRAG:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Uses Knowledge Models to interpret and clarify user questions\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Combines graph\, vector\, and full-text search for higher accuracy\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Grounds answers in real relationships to reduce hallucinations\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Shows the exact provenance of every answer\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Works with any major LLM\, vector store\, or ID provider\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Runs as a modular\, scalable\, orchestrated workflow\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				If you’re tired of brittle RAG pipelines and endless prompt tweaking\, this session shows how GraphRAG turns enterprise knowledge into reliable\, audit-ready intelligence that truly works in production.\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/beyond-the-prototype-unpacking-scalable-enterprise-ready-graphrag-at-graphwise/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/12/Beyond-the-Prototype-Unpacking-Scalable-Enterprise-Ready-GraphRAG-2000x1000-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260211T160000
DTEND;TZID=Europe/Vienna:20260211T170000
DTSTAMP:20260526T230003
CREATED:20251219T124458Z
LAST-MODIFIED:20260225T090928Z
UID:244346-1770825600-1770829200@graphwise.ai
SUMMARY:From Culinary to IoT: How Tietoevry Delivers Real Semantic AI Impact
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				From Culinary to IoT: How Tietoevry Delivers Real Semantic AI Impact\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						February 11\, 2026 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Many enterprises are excited about generative AI\, but turning that excitement into scalable results often proves difficult. The challenge is that most enterprise data is complex\, interconnected\, and highly contextual. Traditional large language models can generate fluent text\, but they don’t truly understand the domain. \nWatch a webinar hosted together with our partners at Tietoevry\, where we’ll explore how Knowledge Graph-driven Retrieval-Augmented Generation (RAG) helps AI move from guessing to genuine understanding. \nMohammad Shadab\, Senior Data Architect\, and Sebastian Remnerud\, Senior Solution Consultant at Tietoevry\, will walk through two real customer cases that show how this approach works in practice: \nCase 1: Turning IoT data into meaningful insightsSensor data alone rarely tells the full story. By combining knowledge graphs\, LLMs and enriching IoT data with external sources such as weather\, organizations connect previously unrelated signals and move beyond basic monitoring to enable predictive maintenance and profitability insights.The result: IoT data that finally tells a clear story\, enabling predictive actions and confident decisions. \nCase 2: Smarter recipes with domain-aware AIBy grounding generative AI in structured domain knowledge\, this solution significantly improves content quality\, dietary constraint detection\, and personalized recipe recommendations\, enabling intelligent recipe transformation while preserving nutritional intent and culinary context.The result: Now users can trust AI because it understands the domain\, not just the words on the page. \nWhether you’re working with enterprise data\, AI initiatives\, or IoT systems\, this session will offer practical insights you can apply right away! Along with time to raise your own questions and challenges. \n​ \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/from-culinary-to-iot-how-tietoevry-delivers-real-semantic-ai-impact/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/12/How-Tietoevry-Delivers-Real-Semantic-AI-Impact-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260129T160000
DTEND;TZID=Europe/Vienna:20260129T170000
DTSTAMP:20260526T230003
CREATED:20251211T125625Z
LAST-MODIFIED:20260218T112955Z
UID:244205-1769702400-1769706000@graphwise.ai
SUMMARY:From Silos to Shared Intelligence: Inside the Graphwise Knowledge Hub
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				From Silos to Shared Intelligence: Inside the Graphwise Knowledge Hub\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						January 29\, 2026\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				​Most conversations about how to efficiently share knowledge and use it to create value within organizations gets stuck in the technical weeds: information is siloed in multiple systems\, there is no (good) metadata to unify them\, Google Search is often the better alternative to enterprise search. At the moment AI is the big promise to solve that. But the real story isn’t in the AI itself. It is in actionable content and context the enterprise manages to provide the AI system with. \nOver the past year\, we built the Graphwise Knowledge Hub\, an AI-driven platform that brings together information from CRM\, marketing\, product docs\, website content\, market research\, and more. By today the  project evolved into a shared knowledge graph driven intelligence layer for the company. A place where sales teams\, marketers\, product experts\, and new colleagues tap into the same pool of knowledge to get the information they need for their different context \nIn this on-demand webinar you will learn how our Graphwise Knowledge Hub and the knowledge practices and governance around it became the focal point for efficient knowledge sharing and having better input for the AI\, to incorporate all of that into the workflow of knowledge accumulation\, making knowledge actionable. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Helmut Nagy\, VP Sales Enablement and Teodora Petkova\, Knowledge Steward\, will share: \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						What we built and why\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						The lessons learned from real internal use\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How we evaluated whether the Hub truly accelerates enablement\, communication\, and content creation\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						A public demo of the Knowledge Hub so you can explore it yourself\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Curious to see behind the scenes of the Graphwise Knowledge Hub and learn about the processes and practices that make it work?\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/from-silos-to-shared-intelligence-inside-the-graphwise-knowledge-hub/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/12/From-Silos-to-Shared-Intelligence-Inside-the-Graphwise-Knowledge-Hub.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260121T170000
DTEND;TZID=Europe/Vienna:20260121T180000
DTSTAMP:20260526T230003
CREATED:20251215T175628Z
LAST-MODIFIED:20260218T113801Z
UID:244273-1769014800-1769018400@graphwise.ai
SUMMARY:The Hidden $130M Tax: Stopping the Search Time Drain in Microsoft 365
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				The Hidden $130M Tax: Stopping the Search Time Drain in Microsoft 365\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						January 21\, 2026 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Most organizations are losing millions without realizing it. 68% of professionals waste 1-5+ hours every week battling poor M365 search\, duplicate documents\, and chasing colleagues for links. In a 5\,000-employee company\, that hidden inefficiency can reach $130M per year. \nA bit more math: 5 wasted hours/week at $100/hour = $26K per employee annually\, a massive drain on your operating budget. \nWatch a focused on-demand session on how to stop this profit leak and maximize your Microsoft 365 investment. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Todd Blaschka\, Senior Executive\, Ben White\, Product Manager together with our partner Toni Ressaire\, Innovation Director at Altuent will walk you through the strategic solution to the root cause of the chaos: \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Why M365 search fails: inconsistent or missing metadata that makes it impossible to quickly identify the right\, current version of a file \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						The strategic fix-Semantic AI: automatically applies accurate\, governed labels and connects documents using standardized vocabulary \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to reclaim capacity: ensure teams instantly find what they need and redirect time toward high-value work like process optimization \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Invest 45 minutes learning how to turn SharePoint into a governed\, reliable knowledge system\, and immediately reclaim millions in lost productivity. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/the-hidden-130m-tax-stopping-the-search-time-drain-in-microsoft-365/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/12/Stopping-the-Search-Time-Drain-in-Microsoft-365-2000x1000-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251218T160000
DTEND;TZID=Europe/Vienna:20251218T170000
DTSTAMP:20260526T230003
CREATED:20251117T120623Z
LAST-MODIFIED:20260218T114251Z
UID:243636-1766073600-1766077200@graphwise.ai
SUMMARY:Automate Knowledge. Trust your AI
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Automate Knowledge. Trust your AI\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						December 18\, 2025 \n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 7:00 a.m. – 8:00 a.m. PST New York | 10:00 a.m. – 11:00 a.m. EST Vienna | 4:00 p.m. – 5:00 p.m. CET \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				2025 marked the breakout year for Graph AI — the shift from niche innovation to the trusted foundation of reliable generative AI. \nJoin us for an end-of-year session with Atanas Kiryakov and Andreas Blumauer as we explore what shaped the market this year and where it’s heading next. You’ll also see the Graphwise AI Platform in action—live demos showing how to make generative AI verifiable\, scalable\, and ready for real business impact. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				We’ll unpack:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Precise GraphRAG—how knowledge graphs serve as a semantic layer to cut hallucinations and deliver verifiable answers \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Graph Automation—how to build a domain-specific model from your corpus in about an hour \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						The 5-Star Journey—how our integrated platform gets you from concept to production-ready AI in weeks\, not months \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				If you’re ready to turn your data into a trusted semantic backbone and deploy fact-based\, reliable AI applications\, this webinar is for you.\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/automate-knowledge-trust-your-ai/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/11/Automate-Knowledge.-Trust-your-AI_fi.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251209T160000
DTEND;TZID=Europe/Vienna:20251209T170000
DTSTAMP:20260526T230003
CREATED:20251117T114611Z
LAST-MODIFIED:20260218T123802Z
UID:243622-1765296000-1765299600@graphwise.ai
SUMMARY:Graph Center of Excellence: Preparing for Next Generation AI
DESCRIPTION:Live WEBINAR \n			\n				\n				\n				\n				\n				Graph Center of Excellence: Preparing for Next Generation AI\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						December 9\, 2025\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				As enterprises race toward AI adoption\, many are hitting the same wall: fragmented systems\, inconsistent governance\, low-quality data\, and AI that can’t be trusted. Without unified\, contextualized data\, AI initiatives stall before they scale. \nGraph technology is rapidly emerging as the backbone of enterprise AI — the missing link that connects data\, meaning\, and governance into a single intelligent framework. It reduces cost\, increases trust\, and turns disconnected information into a powerful semantic foundation for analytics\, automation\, and AI. \nIn this recorded session\, you’ll learn how to strategically adopt graph technologies across your organization by establishing a Graph Center of Excellence (CoE). We’ll break down why a Graph CoE is becoming essential for enterprises navigating the AI era—and how it accelerates your path from experimentation to production-ready\, context-rich AI. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				We’ll explore:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						The core pillars of a Graph CoE and how to deploy it across your enterprise \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Strategic graph adoption to unify\, govern\, and enrich your data\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Real-world use cases driving measurable business impact\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Why organizations must rethink their data management paradigm\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to eliminate the ongoing “Bad Data Tax” draining AI ROI\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How a Graph CoE powers context engineering for AI solutions\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How it streamlines the creation of GraphRAG-based and domain-specific AI applications\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch now to learn how establishing a Graph Center of Excellence can revolutionize your enterprise. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch Now\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/graph-coe-preparing-for-next-generation-ai/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/11/Graph-Technologies-AI-Thought-Leader.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251120T170000
DTEND;TZID=Europe/Vienna:20251120T180000
DTSTAMP:20260526T230004
CREATED:20251022T094040Z
LAST-MODIFIED:20260218T124414Z
UID:242826-1763658000-1763661600@graphwise.ai
SUMMARY:Accelerating Decision-Making in Finance:  AI & Graphs in Action
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Accelerating Decision-Making in Finance: AI & Graphs in Action\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						November 20\, 2025\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch this insightful webinar where we explore the latest Graphwise case studies from the financial industry\, demonstrating how graph technology and AI are driving decision automation across critical business areas. \nCase studies covered: \n\nOperational Resiliency (DORA) Compliance Automation: demonstrate compliance by automatic fulfillment of regulation requirements.\nCredit Risk Assessment: Enhancing accuracy and efficiency in risk evaluation.\nCompliance Issue Resolution: Automating the detection of risks and resolution of compliance inquiries.\nAutomated Regulatory Reporting: streamlining regulatory reporting from a enterprise semantic layer\nSelf-Service Analytics: Empowering business users with Natural Language Querying (NLQ) over the Semantic Layer for actionable insights.\n\nBusiness Value: \n\nMeasure business value and key performance indicators (KPIs) impacted by these innovations.\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Technology Enablers:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Semantic Graphs vs. Relational baseline: Learn the differentiating advantages of graph-based architectures\, compared to a baseline based on the traditional relational approach.\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Agentic-Assisted Modeling\, Mapping\, and Validation: Accelerate decision automation with AI-driven support for more robust and agile operations.\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						AI Agent Orchestration: Leverage automation platforms for seamless coordination and faster insights across business processes.\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch the webinar and learn how these powerful technologies can optimize your financial operations. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch now\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/accelerating-decision-making-in-finance-ai-graphs-in-action/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/10/Accelerating-Decision-Making-in-Finance-AI-Graphs-in-Action-featured-image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251117
DTEND;VALUE=DATE:20251121
DTSTAMP:20260526T230004
CREATED:20250813T165935Z
LAST-MODIFIED:20250813T165937Z
UID:241039-1763337600-1763683199@graphwise.ai
SUMMARY:KMWorld 2025
DESCRIPTION:KMWorld 2025—Enterprise Intelligence: Collaboration & Knowledge Sharing for Success—takes place November 17–20\, 2025\, at the JW Marriott\, Washington\, D.C. This flagship event convenes leaders across knowledge management\, information architecture\, AI\, and enterprise collaboration for a powerhouse of thought leadership\, practical workshops\, and immersive training. \nCo-located alongside KMWorld are four specialty conferences—Taxonomy Boot Camp\, Enterprise Search & Discovery\, Text Analytics Forum\, and Enterprise AI World—creating a dynamic ecosystem for innovation in enterprise solutions. With a Platinum Pass\, attendees unlock access to all five events\, gaining insider access to cutting-edge tools\, techniques\, networking\, and cross-disciplinary insights. \nAt its core\, KMWorld 2025 emphasizes how human ingenuity and AI-driven strategies intersect to foster transformative knowledge sharing—covering topics like search optimization\, taxonomy design\, AI governance\, digital collaboration\, cognitive tools\, and resilience in hybrid work environments. \n			\n				register now
URL:https://graphwise.ai/event/kmworld-2025/
LOCATION:JW Marriott Washington DC\, 1331 Pennsylvania Avenue NW\, Washington\, DC\, 20004\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://graphwise.ai/wp-content/uploads/2025/08/KMW25_OG_1200x630.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251105T163000
DTEND;TZID=Europe/Vienna:20251105T173000
DTSTAMP:20260526T230004
CREATED:20250930T134657Z
LAST-MODIFIED:20260218T133858Z
UID:242463-1762360200-1762363800@graphwise.ai
SUMMARY:Talk to Your Graph
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Talk to Your Graph\n			\n				\n				\n				\n				\n				See how leading organizations are using Talk to Your Graph \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						November 5\, 2025 \n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 7:30 a.m. – 8:30 a.m. PST New York | 10:30 a.m. – 11:30 a.m. EST Vienna | 4:30 p.m. – 5:30 p.m. CET \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch a technical showcase of how leading organizations are using Talk to Your Graph (TTYG) to enable natural language interaction with complex\, graph-based data. \nModerated by Andreas Blumauer\, this session features real-world implementations from five companies working with diverse datasets and graph architectures. The focus will be on practical insights\, architectural choices\, and the evolving role of conversational interfaces in enterprise knowledge systems. \nIdeal for data engineers\, knowledge graph architects\, and technical leads exploring applied semantics\, NLP\, and graph technology. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch now to be among the first to learn about Talk to Your Graph use cases! \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch Now\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/webinar-talk-to-your-graph/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/09/Talk-to-your-Graph-featured-image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251103
DTEND;VALUE=DATE:20251108
DTSTAMP:20260526T230004
CREATED:20250822T103131Z
LAST-MODIFIED:20250822T103132Z
UID:241272-1762128000-1762559999@graphwise.ai
SUMMARY:TechCon365: MICROSOFT 365\, POWER PLATFORM & COPILOT CONFERENCE
DESCRIPTION:Join us at TechCon 365: MICROSOFT 365\, POWER PLATFORM & COPILOT CONFERENCE in Dallas\, TX! \nThis is the premier in-person conference focused on Microsoft 365\, Power Platform\, Azure\, Copilot\, and AI technologies. The 2025 edition is scheduled for November 3–7\, 2025\, hosted at the Irving Convention Center in Irving\, Texas. \nAttendees can access over 130 sessions across multiple tracks and 25 workshops tailored to varying experience levels—from beginners to advanced professionals.  \nThemes of the conference include:  \n\nMicrosoft 365 & Copilot adoption\, governance\, and deployment\nPower Platform & automation workflows (Power Apps\, Power Automate\, Power BI)\nSharePoint & content/information architecture\nAI & Azure development including Copilot Studio\, Azure OpenAI\, custom agents\nBroader tools: Viva\, Microsoft Fabric\, Dataverse\, Syntex\, OneDrive\, Teams\, Loop\, Search\, and more!\n\nThe success of the 2024 event sets a strong precedent for 2025\, with a robust agenda\, expert speakers\, and rich opportunities to connect and grow. \nWe look forward to connecting with you at our booth! \n			\n				register now
URL:https://graphwise.ai/event/techcon365-dallas-2025/
LOCATION:Irving Convention Center\, 500 W. Las Colinas Blvd\, Irving\, TX\, 75039\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://graphwise.ai/wp-content/uploads/2025/08/techcon365_dallas_2025.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251022
DTEND;VALUE=DATE:20251024
DTSTAMP:20260526T230004
CREATED:20250708T135637Z
LAST-MODIFIED:20260226T150958Z
UID:239801-1761091200-1761263999@graphwise.ai
SUMMARY:Graphwise AI Summit 2025
DESCRIPTION:ONline conference \n			\n				\n				\n				\n				\n				Graphwise AI Summit 2025\n			\n				\n				\n				\n				\n				Unlocking Intelligent Applications & Business Impact with Trustworthy AI & Knowledge Graphs \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						October 22nd – 23rd\, 2025 \n					\n				\n			\n				Watch on demand\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Navigating AI’s Landscape: Agentic AI\, GenAI\, RAG & more\n			\n				\n				\n				\n				\n				One year after the strategic merger combining GraphDB and PoolParty technologies\, Graphwise comes for a two-day online event packed with virtual talks\, panels\, and demos with industry leaders\, partners and innovators.\nExplore the strategic impact of semantic technologies and knowledge graphs on cutting-edge AI\, diving into real-world use-cases in Financial Services\, Healthcare & Life Sciences\, and beyond. \n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n				Expert speakers\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n				global attendees\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n				strategic insights\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Learn how to build a GraphRAG solution in a couple of steps and make use of our Graphwise AI Graph Suite latest features \n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Tailor Your Summit Experience\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Strategic AI Solutions\n						Wednesday\, 22nd October\nFor AI strategists & decision-makers to explore how to leverage Graphwise for business growth and innovation. \nWhat you will see: \n\nStrategic insights on cutting-edge AI & KGs\nReal-world use cases & industry pain points\nSuccess stories across industries & proven ROI\n\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Technical Deep Dive\n						Thursday\, 23rd October\nFor hands-on innovators & technical professionals to dive into Graphwise platform’s advanced capabilities. \nWhat you will see: \n\nGraphwise platform\, integrations and portfolio\nDeep dives into core technologies & new features\nPractical tips for developers on how to best use our platform
URL:https://graphwise.ai/event/graphwise-ai-summit-2025/
LOCATION:Online
CATEGORIES:Online Event
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/07/AI-Summit-2025-fea-Img.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251006
DTEND;VALUE=DATE:20251009
DTSTAMP:20260526T230004
CREATED:20250813T164440Z
LAST-MODIFIED:20251003T075938Z
UID:241031-1759708800-1759967999@graphwise.ai
SUMMARY:BioTechX Europe 2025
DESCRIPTION:BioTechX Europe 2025 (6–8 October) is Europe’s largest biotech congress\, held at Messe Basel\, Switzerland. Expect over 3\,000 attendees\, 400+ speakers\, 150+ exhibitors\, and 50 cutting-edge start-ups tackling diagnostics\, precision medicine\, AI\, and digital transformation across pharma and healthcare. \nThe event blends forward-looking conference sessions with a bustling exhibition floor and extensive networking opportunities. Topics span from AI in drug development and real-world evidence to genomics\, single-cell analysis\, FAIR data\, and cheminformatics—making it a prime destination for industry professionals seeking innovation and collaboration. \n			\n				\n				\n				\n				\n				\nTalk: October 7\nIlian Uzunov and Todor Primov’s talk\, Beyond the Limits of GenAI\, will explore how semantic technology and graph-based AI help life sciences organizations: \n\nBreak down data silos and advance FAIR data practices\nUnlock hidden relationships in data\nBuild scalable and trustworthy AI applications\n\n			\n				register now
URL:https://graphwise.ai/event/biotechx-europe-2025/
LOCATION:Messe Basel
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/08/BioTechX_Europe_2025_1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251001T163000
DTEND;TZID=Europe/Vienna:20251001T173000
DTSTAMP:20260526T230004
CREATED:20250822T105346Z
LAST-MODIFIED:20260218T134236Z
UID:241289-1759336200-1759339800@graphwise.ai
SUMMARY:Maximizing Productivity with GraphRAG
DESCRIPTION:ON-DEMAND WEBINAR \n			\n				\n				\n				\n				\n				Maximizing Productivity with GraphRAG\n			\n				\n				\n				\n				\n				Five Use Cases of Retrieval Augmented Generation \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						October 1\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Bringing Confidence to AI \nAre you struggling to realize the full value of your AI initiatives\, facing challenges with data scalability\, user satisfaction\, or even compliance? This webinar will demonstrate how GraphRAG directly addresses these critical business problems and significantly improves AI performance by leveraging enterprise knowledge graphs and a robust semantic layer. \nJoin us for a highly practical session where we will debate five distinct industry use cases\, showcasing real-world applications and measurable outcomes: \n Global Manufacturing: See how GraphRAG provides precise\, quality-assured answers to complex technical questions about systems like hydraulics\, outperforming VectorRAG and pure LLMs in accuracy and enhancing support engineer efficiency. \n Research Organizations: Discover how GraphRAG built a functioning AI assistant for over multilingual policy documents\, exceeding a 95% correct answer rate and substantially enhancing retrieval accuracy. \n Pharmaceutical/Biopharmaceutical Companies: Learn how GraphRAG accelerates the process of bringing new molecules to market by structuring company-wide data into knowledge graphs\, enabling faster deployment of LLMs\, scalability to millions of records\, and automation of business processes like submissions to authorities. \n Software Vendors: Explore how GraphRAG improves self-service portals by preserving content structures and using domain-specific metadata for precise retrieval\, leading to answers that truly interpret user questions and minimize hallucinations. \n Big Four Consultancies: Understand how GraphRAG facilitates knowledge discovery across disconnected content silos\, leading to enhanced content accessibility\, improved collaboration efficiency\, and increased operational agility for internal stakeholders. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				This webinar will reveal how GraphRAG solutions drive tangible benefits and key performance indicators (KPIs) across your organization::\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						AI Accuracy & Reliability: Boost model accuracy to 90–100% and reduce hallucinations using a GraphRAG model grounded in real-world data. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Efficiency & Cost: Cut manual tagging by 60%\, speed up search by 40%\, and reduce duplicate work by 50%\, while lowering RAG costs and LLM usage. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Productivity & Speed: Save 30+ minutes per query\, increase project efficiency by 30%\, and reduce time-to-market by 40%. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Innovation & Growth: Improve access to information and collaboration\, enabling faster decisions and supporting 25% revenue growth. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Compliance & Governance: Automatically map content to regulations\, flag risks\, and ensure auditability with consistent metadata. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						And much more! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch now to learn how GraphRAG transforms disparate data into an “AI-ready data layer” through a multimodal data fabric and a semantic layer\, ensuring comprehensive data utilization and bringing true confidence to your AI initiatives. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/maximizing-productivity-with-graphrag/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/08/October-1-2025-featured-image-web.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251001
DTEND;VALUE=DATE:20251003
DTSTAMP:20260526T230004
CREATED:20250618T145737Z
LAST-MODIFIED:20250923T092804Z
UID:239468-1759276800-1759449599@graphwise.ai
SUMMARY:Big Data & AI Paris
DESCRIPTION:The Origins of BIG DATA & AI PARISThe rapid development of Big Data in France\, fueled by the growth of Cloud Computing and the opening of public data\, created a clear need for structure and collaboration within the emerging ecosystem. It was in this context that Big Data Paris was launched—bringing together experts\, decision-makers\, and innovators from across the sector. \nA few years later\, with the rise of deep learning and the launch of France’s national AI strategy in 2018\, Artificial Intelligence took center stage. To meet this momentum and support the practical application of AI technologies\, AI Paris was born. \nToday\, Big Data and AI are inseparable. AI relies on data to learn\, and Big Data finds its full value through the intelligent systems that interpret it. To reflect this deep interconnection and help professionals seamlessly explore both domains\, Big Data Paris and AI Paris have united into a single strategic event:🎉 BIG DATA & AI PARIS. \nWhether you want to navigate both fields or dive deeper into one\, BIG DATA & AI PARIS is the ultimate meeting point for those shaping the future of data and intelligent technology. \nWe look forward to meeting you in Paris – register now! \n			\n				register now
URL:https://graphwise.ai/event/big-data-and-ai-paris-2025/
LOCATION:Paris Expo Porte de Versailles\, 1 Pl. de la Porte de Versailles\, Paris\, 75015\, France
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://graphwise.ai/wp-content/uploads/2025/06/Big-Data-AI-Paris-2025.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251001
DTEND;VALUE=DATE:20251002
DTSTAMP:20260526T230004
CREATED:20250813T162825Z
LAST-MODIFIED:20250813T162827Z
UID:241020-1759276800-1759363199@graphwise.ai
SUMMARY:Semantic Layer Symposium 2025
DESCRIPTION:Semantic Layer Symposium 2025 is the premier in-person forum for professionals exploring the power of semantic technologies in transforming data into meaningful business intelligence. Held on Wednesday\, October 1\, 2025\, at the luxurious Nimb Hotel in Copenhagen\, this one-day event (with an optional pre-conference workshop) brings together data leaders\, knowledge management professionals\, semantic specialists\, and academics to share real-world strategies and insights. \nAttendees will explore practical use cases\, networking opportunities\, and expert-led sessions focused on implementing semantic layers—from bridging data silos and shaping scalable infrastructure to delivering actionable\, context-rich insights in enterprise environments. \n			\n				register now
URL:https://graphwise.ai/event/semantic-layer-symposium-2025/
LOCATION:NIMB HOTEL\, Bernstorffsgade 5\, Copenhagen\, 1577\, Denmark
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://graphwise.ai/wp-content/uploads/2025/08/semanticlayersymposium2025.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250924
DTEND;VALUE=DATE:20250926
DTSTAMP:20260526T230004
CREATED:20250618T142746Z
LAST-MODIFIED:20250618T142747Z
UID:239455-1758672000-1758844799@graphwise.ai
SUMMARY:Nordic TechKomm 2025
DESCRIPTION:Join us in Copenhagen for NORDIC TechKomm\, where international experts in technical communication come together to explore the latest trends\, challenges\, and innovations in the field. \nThis year’s theme is “Level Up Your Technical Communication”—a call to action for professionals ready to take their skills and strategies to the next level. \nDesigned for those with an advanced understanding of technical communication\, NORDIC TechKomm brings together technical writers\, information developers\, content architects\, and TC managers to share insights\, best practices\, and cutting-edge solutions. \nWhether you’re looking to refine your content strategy\, explore new tools\, or connect with peers from across the industry\, NORDIC TechKomm offers the perfect platform for growth\, networking\, and inspiration. \n📍 Copenhagen awaits—don’t miss this opportunity to elevate your expertise and be part of the conversation shaping the future of technical communication. \n			\n				register now
URL:https://graphwise.ai/event/nordic-techkomm-copenhagen-2025/
LOCATION:Scandic Sydhavnen\, Sydhavns Plads 15\, Copenhagen SV\, 2450\, Denmark
CATEGORIES:Event
ATTACH;FMTTYPE=image/webp:https://graphwise.ai/wp-content/uploads/2025/06/NORDIC-TechKOMM-2025-conference.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250917T170000
DTEND;TZID=Europe/Vienna:20250917T180000
DTSTAMP:20260526T230004
CREATED:20250612T103516Z
LAST-MODIFIED:20260218T134534Z
UID:239318-1758128400-1758132000@graphwise.ai
SUMMARY:How Knowledge Managers can use Copilot agents to break down content silos in SharePoint
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				How Knowledge Managers can use Copilot agents to break down content silos in SharePoint\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						September 17\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				About our ‘How Knowledge Managers can use Copilot agents’ webinar\nAre you a Knowledge Manager struggling with information overload\, siloed SharePoint sites\, and the constant challenge of ensuring employees can quickly access accurate information? \nDiscover how to leverage Microsoft Copilot agents–enhanced with AI-powered taxonomy management and auto-tagging for SharePoint–to transform your organization’s knowledge landscape. \nWatch Graphwise\, developers of cutting-edge semantic AI software\, and Altuent\, a knowledge management consultancy for this webinar. We’ll provide practical insights on how to make Copilot agents more reliable\, increase traceability\, trust and efficiency. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Discover the unparalleled features of Graphwise for M365:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						A solution that prevents SharePoint being a siloed\, chaotic mess\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to add a semantic layer (with AI automations) to your unstructured content\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						We aim to give you practical insights on how to make Copilot agents in your KM process more reliable\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to unleash the power of Copilot agents to retrieve specific information from SharePoint\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/how-knowledge-managers-can-use-copilot-agents-breakdown-silos-sharepoint/
LOCATION:Online
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/06/September-17-2025-copilot-agents-sharepoint-webinar-featured-image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250910T170000
DTEND;TZID=Europe/Vienna:20250910T170000
DTSTAMP:20260526T230004
CREATED:20250812T180947Z
LAST-MODIFIED:20260218T135012Z
UID:241003-1757523600-1757523600@graphwise.ai
SUMMARY:Introducing Graphwise Sandbox: Explore the Power of GraphDB in Minutes
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Introducing Graphwise Sandbox\n			\n				\n				\n				\n				\n				Explore the Power of GraphDB in Minutes \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						September 10\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                                                                                                                                                \n                                                                                                                                Independent taxonomy consultant \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n			12\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Unlock the Power of Connected Data in Minutes  \nAre you curious about the power of GraphDB and knowledge graphs\, but unsure where to start? Graphwise Sandbox\, our newly launched self-service environment\, provides you with immediate\, hands-on access to GraphDB\, complete with curated datasets and interactive guidance—no setup required! \nIn this webinar\, you’ll learn about the capabilities included in Graphwise Sandbox\, from the ease of launching isolated demo environments to exploring data through natural language queries. We’ll showcase the initial set of demo projects\, including Ontotext’s Knowledge Graph\, European Railway Navigator\, Ontology Navigator with FIBO\, Star Wars Universe Explorer\, and the Semantic Movies Recommender. Discover how these real-world datasets and guided interactions allow users—from data enthusiasts to enterprise architects—to experience semantic technology in action. \nWe’ll cover key features such as tenant-level data isolation\, external tool connectivity\, and flexible sandbox lifespans\, along with clear insights into resource limitations\, including data volume constraints\, query concurrency\, and token usage. Lastly\, we’ll offer a glimpse into future enhancements\, revealing our plans to expand the Sandbox to additional Graphwise products and datasets. \nWatch this webinar and learn how you can instantly start exploring the value of GraphDB and semantic technologies through Graphwise Sandbox. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Key takeaways from this webinar include:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to quickly register and launch Graphwise Sandbox. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						The available demo projects and how they illustrate real-world graph use cases. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Technical capabilities and limitations of the Sandbox. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Best practices for maximizing your sandbox experience. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						What’s coming next from Graphwise! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Ready to explore GraphDB instantly? Watch this webinar and unlock the full potential of your data. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speakers\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, and AI to solve content and data challenges. Previously at CABI and Oxford University Press\, he has worked extensively with large-scale thesauri and structured content systems. He is particularly interested in how AI can support the creation and maintenance of taxonomies in practice\, and where human expertise remains critical. \n                                                                                                                                                 \n                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Heather Hedden                                                                Independent taxonomy consultant                                                                                                                                          \n                                                                                                                                                    Heather is an independent taxonomy consultant\, doing business as Hedden Information Management. She has been working in the field for over 30 years\, with past employers including Semantic Web Company and Enterprise Knowledge. Heather is author of the book The Accidental Taxonomist\, a frequent conference presenter\, blogger\, and instructor of taxonomy workshops.
URL:https://graphwise.ai/event/introducing-graphwise-sandbox-explore-the-power-of-graphdb-in-minutes/
LOCATION:Online
CATEGORIES:On-demand Webinar
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