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DTSTART;TZID=Europe/Vienna:20260609T160000
DTEND;TZID=Europe/Vienna:20260609T170000
DTSTAMP:20260526T195758
CREATED:20260415T121435Z
LAST-MODIFIED:20260525T093748Z
UID:248161-1781020800-1781024400@graphwise.ai
SUMMARY:Building the Future of Compliance: A Semantic AI Success Story
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/building-the-future-of-compliance-a-semantic-ai-success-story/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/04/Featured-img-2000x1000-8-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260610
DTEND;VALUE=DATE:20260612
DTSTAMP:20260526T195758
CREATED:20260127T213005Z
LAST-MODIFIED:20260526T090238Z
UID:245159-1781049600-1781222399@graphwise.ai
SUMMARY:The AI Summit London 2026
DESCRIPTION:Meet Graphwise at The AI Summit London 2026\nGraphwise is excited to participate at The AI Summit London 2026\, taking place June 10-11\, 2026\, at Tobacco Dock\, London. \nThe AI Summit London is where business leaders\, tech innovators\, and AI practitioners come together to explore real-world applications of artificial intelligence. As part of London Tech Week\, the event brings together thousands of forward-thinking technologists and business professionals to share insights\, strategies\, and hands-on demonstrations of what AI can do today. \nGraphwise will be on-site throughout the event at booth #110. Stop by to meet the team\, see what we are building\, or talk through the data challenges you are working on. You are also welcome to drop by just to say hello. \nAt the booth Gary Leicester\, Solution Architect; Rick Crane\, Senior Vice President of Revenue; Daniel Gallar\, Strategic Vertical Director; Ivan Antrov\, Partner Sales Director; Kalina Gancheva\, Regional Enterprise Executive. \nOn the stage June 10 — Why Your AI Keeps Getting It Wrong: The Semantic Backbone Fix Speaker: Andreas Blumauer\, SVP of Growth and Co-founder \nLet’s Connect\nPlanning to attend The AI Summit 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. \n			\n				\n				\n				\n				\n				Graphwise Networking Evening · London\, June 10\n			\n				\n				\n				\n				\n				A casual evening of bites\, drinks\, and honest conversations at the intersection of AI\, semantics\, and knowledge graphs — organized alongside our presence at AI Summit London. \nCome talk shop with practitioners and leaders wrestling with the same questions: how do you make AI reliable at scale\, get it to truly understand your business\, and move from pilot to production? \nSeats are limited. Register here →
URL:https://graphwise.ai/event/the-ai-summit-london-2026/
LOCATION:Tobacco Dock\, Tobacco Quay\, Wapping Lane\, London\, United Kingdom
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/01/Copy-of-Featured-img-2000x1000-4-1-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260610T193000
DTEND;TZID=Europe/Vienna:20260611T000000
DTSTAMP:20260526T195758
CREATED:20260512T073412Z
LAST-MODIFIED:20260518T161357Z
UID:249021-1781119800-1781136000@graphwise.ai
SUMMARY:Graphwise Networking Evening in London
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/graphwise-networking-evening-in-london/
LOCATION:The Chambers Bar\, 132-135 Minories\, London\, EC3N 1NU\, United Kingdom
CATEGORIES:Offline Event,Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/05/CIDM-x-Graphwise_Webinar_-2000-x-1000-px-6-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260611T200000
DTEND;TZID=Europe/Vienna:20260611T210000
DTSTAMP:20260526T195758
CREATED:20260408T074324Z
LAST-MODIFIED:20260408T074324Z
UID:247852-1781208000-1781211600@graphwise.ai
SUMMARY:Agentic AI and the Next Era of Data Management
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/agentic-ai-and-the-next-era-of-data-management/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/04/CIDM-x-Graphwise_Webinar_-2000-x-1000-px-2-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260617T160000
DTEND;TZID=Europe/Vienna:20260617T170000
DTSTAMP:20260526T195758
CREATED:20260325T133943Z
LAST-MODIFIED:20260325T133943Z
UID:247023-1781712000-1781715600@graphwise.ai
SUMMARY:AI in Taxonomy Building
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/ai-in-taxonomy-building/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/03/Graphwise_Webinar_AI-in-Taxonomy-Building_June_2026_2000x1000-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260625T160000
DTEND;TZID=Europe/Vienna:20260625T170000
DTSTAMP:20260526T195758
CREATED:20260407T071926Z
LAST-MODIFIED:20260525T093656Z
UID:247753-1782403200-1782406800@graphwise.ai
SUMMARY:Leveraging Siloed Knowledge up to Enterprise Intelligence
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/leveraging-siloed-knowledge-up-to-enterprise-intelligence/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/04/1200x627-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260629
DTEND;VALUE=DATE:20260701
DTSTAMP:20260526T195758
CREATED:20260127T214634Z
LAST-MODIFIED:20260525T123704Z
UID:245175-1782691200-1782863999@graphwise.ai
SUMMARY:Knowledge Summit Dublin 2026
DESCRIPTION:Meet Graphwise at Knowledge Summit Dublin 2026\nGraphwise is excited to attend Knowledge Summit Dublin 2026\, taking place June 29-30\, 2026\, at the historic Trinity College Dublin. \nKnowledge Summit Dublin is one of Europe’s largest events for knowledge management professionals. This year’s theme\, “Humans in the Loop\,” explores how to build networks and skills to elevate knowledge and harness AI\, with human connection at the core. It brings together practitioners\, thought leaders\, and industry experts focused on leading knowledge-centric organizations in an AI-driven world. \nGraphwise will be on-site throughout the event with a stand. If you are attending and would like to meet up\, we would love to connect. Stop by to chat with the team\, you will see at the event: Gary Leicester\, Solution Architect; Rick Crane\, Senior Vice President of Revenue; Helmut Nagy\, VP Sales Enablement.*our booth location is TBC… \nLet’s Connect\nPlanning to attend Knowledge Summit Dublin 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/knowledge-summit-dublin-2026/
LOCATION:Trinity College Dublin\, College Green\, Dublin 2\, Ireland
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/03/KMWorld-Taxonomy-3-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20260715T180000
DTEND;TZID=Europe/Vienna:20260715T190000
DTSTAMP:20260526T195758
CREATED:20260318T162135Z
LAST-MODIFIED:20260324T161012Z
UID:247360-1784138400-1784142000@graphwise.ai
SUMMARY:AI-Assisted Taxonomy Creation: Tools\, Workflows\, and Where Do Humans Fit In?
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/ai-assisted-taxonomy-creation-tools-workflows-and-where-do-humans-fit-in/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/03/CIDM-x-Graphwise_Webinar_-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260915
DTEND;VALUE=DATE:20260918
DTSTAMP:20260526T195758
CREATED:20260313T163813Z
LAST-MODIFIED:20260429T091847Z
UID:247275-1789430400-1789689599@graphwise.ai
SUMMARY:SEMANTICS 2026
DESCRIPTION:Meet Graphwise at SEMANTiCS 2026\nGraphwise is excited to take part in the 22nd International Conference on Semantic Systems (SEMANTiCS 2026)\, September 15–17\, 2026\, hosted at Music Center de Bijloke in Ghent\, Belgium. \nSEMANTiCS is a premier European conference bringing together researchers\, practitioners\, and industry leaders working at the intersection of semantic technologies\, knowledge graphs\, and AI-driven data management. Over three days\, attendees engage with cutting-edge research\, real-world use cases\, and forward-thinking ideas shaping the future of the semantic web and linked data. \nFind our team at the Booth#3\nGraphwise will be actively involved throughout the conference. We’ll be delivering a talk\, hosting a hands-on workshop\, and you’ll also be able to meet us at our booth during the event. Details about our talk\, workshop schedule will be shared closer to the event dates\, so stay tuned! \nLet’s Connect!\nPlanning to attend SEMANTiCS 2026 in Ghent? 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/semantics-2026/
LOCATION:Music Center de Bijloke\, Bijlokekaai 7\, 9000\, Ghent\, Belgium
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/03/Sematics-1-scaled.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260930
DTEND;VALUE=DATE:20261002
DTSTAMP:20260526T195758
CREATED:20260129T101143Z
LAST-MODIFIED:20260401T111022Z
UID:245315-1790726400-1790899199@graphwise.ai
SUMMARY:The AI Conference in San Francisco 2026
DESCRIPTION:Meet Graphwise at The AI Conference 2026\nGraphwise is excited to participate at The AI Conference 2026\, taking place September 30 – October 1 in San Francisco. \nThe AI Conference brings together thousands of AI engineers\, architects\, and business leaders to explore real-world applications of artificial intelligence. With a deeply technical audience and major industry players in attendance\, it is one of the key events for teams building and scaling AI solutions. \nGraphwise will be on-site throughout the event. Stop by our booth to meet the team\, see what we are building\, or talk through your AI and data challenges. You are also welcome to drop by just to say hello. We will also be delivering a speaking session during the conference. We will share more details about the session topic and our booth location closer to the event. \nLet’s Connect\nIf you plan to attend The AI Conference and would like to connect ahead of time\, we would love to hear from you. If you will not be there but still want to start a conversation\, that works too. \nGet in touch: info@graphwise.ai \nSee you in San Francisco this fall!
URL:https://graphwise.ai/event/the-ai-conference-in-san-francisco-2026/
LOCATION:Event space\, Pier 48\, San Francisco\, CA\, 94158\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/01/Banner-XL-TAIC-Graphwise-2000x1000-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261007
DTEND;VALUE=DATE:20261009
DTSTAMP:20260526T195758
CREATED:20260430T150333Z
LAST-MODIFIED:20260526T152023Z
UID:247616-1791331200-1791503999@graphwise.ai
SUMMARY:Graphwise AI Summit 2026
DESCRIPTION:online event \n			\n				\n				\n				\n				\n				Graphwise AI Summit 2026\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						\n						October 7th – 8th\, 2026 \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						zoom \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					}\n					\n						\n						4:00 PM – 9:00 PM CET (Vienna) | 7:00 AM – 12:00 PM PST (San Francisco) | 10:00 AM – 3:00 PM EST (New York) \n					\n				\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				\n				\n				\n				\n				The Graphwise AI Summit 2026 is a two-day free virtual event bringing together business leaders and technical practitioners to share what’s working: the governance approaches\, the architectural decisions\, and the implementation lessons that move AI from pilot to production. \n			\n				\n				\n				\n				\n				Two days. One connected story about what it takes to get enterprise AI right.\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Day 1: Where ROI Meets Trust\n			\n				\n				\n				\n				\n				October 7\, 2026 \nWhat we cover:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to build AI that’s explainable\, auditable\, and defensible to regulators \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to move AI projects from proof-of-concept to production: without losing momentum or business buy-in \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						What governance that accelerates deployment looks like in practice \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Day 2: The Infrastructure and Implementation\n			\n				\n				\n				\n				\n				October 8\, 2026 \nWhat we cover:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to design a data foundation that reduces complexity instead of adding to it  \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How teams are building AI systems that scale\, and stay maintainable  \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						What it takes to make AI trustworthy in high-stakes environments \n					\n				\n			\n			\n				\n				\n				\n				\n			\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                                                                                                              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                      \n                                                                Gary Leicester                                                                Solution Architect at Graphwise                                                                                                                                          \n                                                                                                                                                    Gary is a Solution Architect at Graphwise\, where he advises organisations on using taxonomy\, knowledge graphs\, a... \n                                                                                                                                                \n                                                                                                                                \n                                                                                                                                    \n                                                                        \n                                                                            read more\n                                                                        \n                                                                    \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                               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                                                                                                                                                                                                  \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 wor... \n                                                                                                                                                \n                                                                                                                                \n                                                                                                                                    \n                                                                        \n                                                                            read more\n                                                                        \n                                                                    \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n			\n				\n				\n				\n				\n				more to be announced…
URL:https://graphwise.ai/event/graphwise-ai-summit-2026/
LOCATION:Online
CATEGORIES:Online Event
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20261014
DTEND;VALUE=DATE:20261016
DTSTAMP:20260526T195758
CREATED:20260413T144827Z
LAST-MODIFIED:20260413T144838Z
UID:248081-1791936000-1792108799@graphwise.ai
SUMMARY:Semantic Layer Symposium 2026
DESCRIPTION:Meet Graphwise at the Semantic Layer Symposium 2026\nGraphwise is excited to take part in the Semantic Layer Symposium (SLS) 2026\, taking place October 14-15\, 2026\, at Palais Coburg in Vienna\, Austria. \nThe Semantic Layer Symposium is a leading forum where industry thought leaders\, data experts\, and practitioners come together to explore the transformative potential of Semantic Layers\, a foundational architecture for bringing context and meaning to data\, and a critical enabler of Knowledge Intelligence. Designed for professionals seeking to move beyond theoretical discussions\, SLS focuses on real-world use cases\, actionable strategies\, and proven paths to delivering measurable value. \nOur speaking session\nIn a joint presentation with Roche\, Graphwise will take the stage to share how a true semantic layer can unlock enterprise-scale AI readiness. \nFrom Strings to Science: Implementing a True Semantic Layer for AI Readiness at RocheSpeakers: Dr. Martin Romacker\, Product Manager\, Roche Data Marketplace · Ilian Uzunov\, VP Vertical Sales\, Graphwise \nA “true” semantic layer transcends pure technical and business lineage. It requires governed semantic assets: ontologies\, metadata\, FAIR vocabularies\, and GUPRIs. We move beyond string-based approaches to highly engineered\, concept-based models\, making data truly AI-ready. Using GraphDB for 6+ years\, Roche has built a scalable RDF infrastructure transforming data assets into actionable knowledge. We will show how semantic connectivity provides the strategic foundation for enterprise-scale intelligence. \nLet’s Connect\nPlanning to attend the Semantic Layer Symposium 2026? We’d love to connect with you in Vienna! Submit the form below and we’ll reach out to schedule a time to meet at the event\, whether during a coffee break or around our speaking session.
URL:https://graphwise.ai/event/semantic-layer-symposium-2026/
LOCATION:Palais Coburg\, Coburgbastei 4\, Vienna\, 1010
CATEGORIES:Event
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20261116
DTEND;VALUE=DATE:20261120
DTSTAMP:20260526T195758
CREATED:20260422T190332Z
LAST-MODIFIED:20260422T190340Z
UID:248547-1794787200-1795132799@graphwise.ai
SUMMARY:KMWorld USA 2026
DESCRIPTION:Meet Graphwise at KMWorld 2026\nGraphwise is excited to take part in KMWorld 2026\, November 16-19\, 2026\, in Washington\, D.C.\, USA. \nKMWorld is the world’s leading knowledge management event\, bringing together CIOs\, CKOs\, IT managers\, knowledge and information professionals\, and executive leaders from across industries. Over four days\, attendees gain practical advice\, hear inspiring thought leadership\, and explore in-depth training and workshops on how knowledge management and related disciplines can transform their organizations. \nMeet the Graphwise Team\nGraphwise will be actively involved throughout the conference. We’ll be delivering a talk and you’ll also be able to meet us at our booth during the event. Details about our speaking session and booth location will be shared closer to the event dates\, so stay tuned and keep in touch. \nLet’s Connect!\nPlanning to attend KMWorld 2026 in Washington\, D.C.? 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-usa-2026/
LOCATION:JW Marriott Washington DC\, 1331 Pennsylvania Avenue NW\, Washington\, DC\, 20004\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2026/04/KMworld-scaled.png
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