BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Graphwise - ECPv6.15.11//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Graphwise X-ORIGINAL-URL:https://graphwise.ai X-WR-CALDESC:Events for Graphwise REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Vienna BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20240331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20241027T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20260329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20261025T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;VALUE=DATE:20250505 DTEND;VALUE=DATE:20250510 DTSTAMP:20260527T000351 CREATED:20250321T122445Z LAST-MODIFIED:20250521T150111Z UID:165436-1746403200-1746835199@graphwise.ai SUMMARY:Event: Knowledge Graph Conference 2025 DESCRIPTION:Join us at the Knowledge Graph Conference\, taking place from May 5-6\, 2025\, at Cornell Tech NYC in New York\, NY. The Knowledge Graph Conference is a pioneer in the rapidly growing field of knowledge graphs and related technologies such as graph neural networks\, natural language processing\, graph data science\, Large Language Models (LLMs)\, and more. \nQuick Facts of the Knowledge Graph Conference (KGC): \n\nThe KGC draws over 1000 attendees from more than 50 countries.\nThis year the KGC has 40+ partners and 150+ speakers.\nNetworking events with diverse groups of industry practitioners\, developers\, researchers\, librarians\, students\, investors\, and more.\nUltimately\, the KGC brings together leaders across industry and research\, defining the future of semantic technologies and AI.\n\nBe sure to stop by the Graphwise booth to connect with our on-site team\, including Atanas Kiryakov\, President of Graphwise\, Peio Popov\, VP of Business Operations USA\, Martin Trajkov\, Director Partner Sales USA\, and Maria Litsios\, Sales Engineer. \nFor more information and to register for the event\, please visit Knowledge Graph Conference 2025. \n \n register now URL:https://graphwise.ai/event/knowledge-graph-conference-2025/ LOCATION:Cornell Tech NYC\, 2 W Loop Rd\, New York\, NY\, 10044\, United States CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/03/KGC-2025-Feature-Image.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250404T093000 DTEND;TZID=Europe/Vienna:20250404T103000 DTSTAMP:20260527T000351 CREATED:20250321T110247Z LAST-MODIFIED:20260225T103200Z UID:165420-1743759000-1743762600@graphwise.ai SUMMARY:Talk: Using iiRDS to publish Intelligent Content as a Service 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 Andrey Tagarev \n AI & Knowledge Engineer at Graphwise \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 12345678\n \n \n \n\n \n \n \n \n \n \n \n \n \n \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 Vladimir Alexiev Chief Data Architect at Graphwise \n Vladimir brings vivid IT experience with deep specialization in semantic technologies. Holding an MS and PhD in Computer Science and a PMP certification\, he has led R&D at software companies for over a decade\, working across cultural heritage\, industrial data\, and now power systems. His expertise spans ontology engineering\, knowledge graphs\, RDF/OWL\, SPARQL\, and semantic data integration: the full stack that makes complex\, fragmented data meaningful and machine-readable. At Graphwise\, Vladimir leads the technical vision behind Talk2PowerSystem\, applying semantic web principles to make power system models truly accessible through natural language. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andreas Kimsås Senior IT-architect at Statnett \n Simulation and system analysis of networks has been the main topic throughout his career. It involves various industries (Telecom\, Oil & Gas and now Electrical Grid Networks) and various roles (Ph.D researcher\, systems delivery engineer\, functional architect\, product owner and business domain architect). The assembly and practical use of digital twins is at the center of these activities\, but its complexity puts it out of reach for many of those who could and should be core users. The Talk2PowerSystem project was initiated by Andreas Kimsås in an attempt to democratize these models with the final objective to make it radically easier to use the models for power system analysis.  \n \n \n \n \n \n \n \n \n \n \n \n \n \n Svein Harald Olsen Enterprise Information Architect at Statnett \n Svein is an Enterprise Information Architect specializing in data interoperability and international standardization for the power sector. A member of IEC TC57 WG13 and WG14\, and liaison to ISO BIM and IDO\, he leads key initiatives in ENTSO-E including the CGMES and RCC NCP subgroups. \nRecipient of the IEC 1906 Award (2023)\, he focuses on enabling knowledge-centric architectures through Semantic Web technologies and Linked Data to support digital transformation in energy\, infrastructure\, and manufacturing. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Garcia-Castro Senior Enterprise Data Architect and Ontologist at Siemens \n Experienced and strategic Data Expert with 15+ years of experience delivering enterprise-scale data solutions across energy\, pharma\, procurement\, logistics\, manufacturing\, and chemicals. Senior Data Scientist\, AI Senior Expert\, FAIR Data Architect\, and Ontologist with a proven record of translating complex data challenges into scalable\, governed\, and semantically coherent architectures. Currently leading innovation aspects of the integration layer and AI-related toolkit at Siemens Energy.  Proven success in implementing data mesh principles\, domain-oriented modelling\, and self-service data platforms that scale across international organizations. Deep expertise in cloud-native architectures\, event-driven systems\, and enterprise integration platforms. Strong leadership record managing international teams and scaling global data capabilities across regions. Trusted to drive transformation\, elevate data quality at the source\, and enable intelligent automation across the enterprise. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev AI & Knowledge Engineer at Graphwise \n Andrey specializes in machine learning\, ontologies\, and knowledge graphs. He currently focuses on designing and testing high-fidelity AI agents\, with particular emphasis on building robust evaluation frameworks that ensure agent reliability\, quality\, and scalability. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Neli Hateva Senior Software Developer at Graphwise \n Neli is a Senior Software Developer at Graphwise with over 12 years of experience. With a background in Computer Science and a Master’s in Computational Linguistics\, she specializes in Java\, Python\, and ML/NLP. Since joining Ontotext in 2016\, Neli has focused on transforming state-of-the-art research into scalable\, real-world semantic applications. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Nikola Tulechki Knowledge Engineer at Graphwise \n Nikola is a linguist and knowledge engineer at Graphwise (formerly known as Ontotext) since 2017. Nikola is part of the Research and Innovations group and works on semantic data modelling and integration on various commercial and research projects. He is also the product owner of Ontotext Refine\, the free tool for data conversion built on top of Open Refine. He also did a PhD at Toulouse: NLP over with aerospace data. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Anderson \n Alexander received the Professional Science Masters in power systems engineering from Washington State University and PhD in systems engineering from Colorado State University. From 2016-2020\, Alex was a systems engineer at IncSys Corp\, providing large-scale simulation-based training to transmission system operators worldwide. Alex joined PNNL in 2021 focuses on data integration using the Common Information Model\, development of Agentic AI applications\, and human factors in utility control rooms. URL:https://graphwise.ai/event/using-iirds-to-publish-intelligent-content-as-a-service/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://graphwise.ai/wp-content/uploads/2025/03/csm_ie-header-Europe-1-1920x720_a835ba6df9.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250403T160000 DTEND;TZID=Europe/Vienna:20250403T170000 DTSTAMP:20260527T000351 CREATED:20250321T095818Z LAST-MODIFIED:20260219T125714Z UID:165375-1743696000-1743699600@graphwise.ai SUMMARY:Turning Linguistic Assets into Knowledge for GenAI Applications DESCRIPTION:On-Demand WEBINAR \n \n \n \n \n \n Turning Linguistic Assets into Knowledge for GenAI Applications\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n April 3\, 2025 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev \n AI & Knowledge Engineer at Graphwise \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 12345678\n \n \n \n\n \n \n \n \n \n \n Fill out the form to watch this webinar\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Companies struggle with getting GenAI into production. And well-structured\, semantically enriched data can significantly improve the reliability and control of content creation and also prepare content for AI. \nThis is good news for the localization industry\, because our linguistic assets like terminologies play a vital role in that! On the one hand\, terminology can directly provide guard rails for AI-based content generation and translation and make content more reliable by means of Terminology Augmented Generation (TAG). On the other hand\, terminology can feed data into taxonomies and knowledge graphs\, which in turn can enhance content delivery\, search and retrieval\, or even make recommendations on contents by means of Graph Retrieval Augmented Generation (GraphRAG). \nThis on-demand webinar digs deep into the underlying use cases and technologies and tries to establish the difference but also the immense synergies between terminologies\, taxonomies and knowledge graphs. We will show a lot of live uses cases: \n• What can you do with terminology for linguistic use cases in GenAI. We will show some live examples of Terminology Augmented Translation for terminology checking\, translation but also text generation. And we will show why the TAG approach is more precise than the often-used RAG approach.• Terminology alone can also already help for question answering\, at a similar level as RAG. There are limits to that\, though. But even so\, we will show that terminology is a great basis to build a taxonomy or knowledge graph and integrating the two makes sense.• With knowledge graphs\, you can get much higher accuracy for question answering\, for example with chatbots. But of course you can take knowledge graphs much further for use cases like auto-classification\, recommender systems etc.• The bottom line is: It depends strongly on the use case whether you want to use pure terminology or go deep into knowledge graphs. In either case it makes sense to combine the two to save time and reduce redundancies. \n(gala-global.org) \n \n \n \n \n \n \n \n \n \n \n \n \n \n WATCH NOW\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n Speakers\n \n \n \n \n \n \n \n \n \n \n \n \n Vladimir Alexiev Chief Data Architect at Graphwise \n Vladimir brings vivid IT experience with deep specialization in semantic technologies. Holding an MS and PhD in Computer Science and a PMP certification\, he has led R&D at software companies for over a decade\, working across cultural heritage\, industrial data\, and now power systems. His expertise spans ontology engineering\, knowledge graphs\, RDF/OWL\, SPARQL\, and semantic data integration: the full stack that makes complex\, fragmented data meaningful and machine-readable. At Graphwise\, Vladimir leads the technical vision behind Talk2PowerSystem\, applying semantic web principles to make power system models truly accessible through natural language. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andreas Kimsås Senior IT-architect at Statnett \n Simulation and system analysis of networks has been the main topic throughout his career. It involves various industries (Telecom\, Oil & Gas and now Electrical Grid Networks) and various roles (Ph.D researcher\, systems delivery engineer\, functional architect\, product owner and business domain architect). The assembly and practical use of digital twins is at the center of these activities\, but its complexity puts it out of reach for many of those who could and should be core users. The Talk2PowerSystem project was initiated by Andreas Kimsås in an attempt to democratize these models with the final objective to make it radically easier to use the models for power system analysis.  \n \n \n \n \n \n \n \n \n \n \n \n \n \n Svein Harald Olsen Enterprise Information Architect at Statnett \n Svein is an Enterprise Information Architect specializing in data interoperability and international standardization for the power sector. A member of IEC TC57 WG13 and WG14\, and liaison to ISO BIM and IDO\, he leads key initiatives in ENTSO-E including the CGMES and RCC NCP subgroups. \nRecipient of the IEC 1906 Award (2023)\, he focuses on enabling knowledge-centric architectures through Semantic Web technologies and Linked Data to support digital transformation in energy\, infrastructure\, and manufacturing. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Garcia-Castro Senior Enterprise Data Architect and Ontologist at Siemens \n Experienced and strategic Data Expert with 15+ years of experience delivering enterprise-scale data solutions across energy\, pharma\, procurement\, logistics\, manufacturing\, and chemicals. Senior Data Scientist\, AI Senior Expert\, FAIR Data Architect\, and Ontologist with a proven record of translating complex data challenges into scalable\, governed\, and semantically coherent architectures. Currently leading innovation aspects of the integration layer and AI-related toolkit at Siemens Energy.  Proven success in implementing data mesh principles\, domain-oriented modelling\, and self-service data platforms that scale across international organizations. Deep expertise in cloud-native architectures\, event-driven systems\, and enterprise integration platforms. Strong leadership record managing international teams and scaling global data capabilities across regions. Trusted to drive transformation\, elevate data quality at the source\, and enable intelligent automation across the enterprise. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev AI & Knowledge Engineer at Graphwise \n Andrey specializes in machine learning\, ontologies\, and knowledge graphs. He currently focuses on designing and testing high-fidelity AI agents\, with particular emphasis on building robust evaluation frameworks that ensure agent reliability\, quality\, and scalability. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Neli Hateva Senior Software Developer at Graphwise \n Neli is a Senior Software Developer at Graphwise with over 12 years of experience. With a background in Computer Science and a Master’s in Computational Linguistics\, she specializes in Java\, Python\, and ML/NLP. Since joining Ontotext in 2016\, Neli has focused on transforming state-of-the-art research into scalable\, real-world semantic applications. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Nikola Tulechki Knowledge Engineer at Graphwise \n Nikola is a linguist and knowledge engineer at Graphwise (formerly known as Ontotext) since 2017. Nikola is part of the Research and Innovations group and works on semantic data modelling and integration on various commercial and research projects. He is also the product owner of Ontotext Refine\, the free tool for data conversion built on top of Open Refine. He also did a PhD at Toulouse: NLP over with aerospace data. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Anderson \n Alexander received the Professional Science Masters in power systems engineering from Washington State University and PhD in systems engineering from Colorado State University. From 2016-2020\, Alex was a systems engineer at IncSys Corp\, providing large-scale simulation-based training to transmission system operators worldwide. Alex joined PNNL in 2021 focuses on data integration using the Common Information Model\, development of Agentic AI applications\, and human factors in utility control rooms. URL:https://graphwise.ai/event/turning-linguistic-assets-into-knowledge-for-genai-applications/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/jpeg:https://graphwise.ai/wp-content/uploads/2025/03/2019-12-26-itc-rejoint-gala.jpg END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250402T170000 DTEND;TZID=Europe/Vienna:20250402T174000 DTSTAMP:20260527T000351 CREATED:20250321T104151Z LAST-MODIFIED:20260225T103244Z UID:165398-1743613200-1743615600@graphwise.ai SUMMARY:Talk: Graph-Driven RAG AI Powered by DITA DESCRIPTION:Live Talk \n \n \n \n \n \n Graph-Driven RAG AI Powered by DITA\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n April 2\, 2025 \n \n \n \n \n \n \n \n \n }\n \n \n San Francisco | 8:00 a.m. – 8:40 a.m. PDTNew York | 11:00 a.m. – 11:40 a.m. EDTVienna | 5:00 p.m. – 5:40 p.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 Andrey Tagarev \n AI & Knowledge Engineer at Graphwise \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 12345678\n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Graph-Driven RAG AI Powered by DITA \nCan generative AI benefit from structured content? What role play knowledge graphs in this? And what does all of that have to do with DITA? After they discovered the shortcomings of vector-based RAG there is a buzz in the industry around knowledge graph-driven retrieval-augmented generation (Graph RAG). This session will put the question of whether and how DITA fits into that equation. Michael Iantosca\, Senior Direct of Knowledge Platforms and Engineering at Avalara\, and Helmut Nagy\, Chief Product Officer of Semantic Web Company will demonstrate a full-scale implementation of a graph-driven RAG based on intelligent structured content. Presented by Iantosca as graph AI theory at CIDM and in Best Practices newsletters just as generative AI blasted into the mainstream\, this session will explain how DITA was used to automate the construction and maintenance of a scalable knowledge graph to drive generative AI applications along with a fully functional advanced neuro-symbolic chatbot that supports what other models lack: the ability to deterministic reasoning and inference. This isn’t your typical show-and-tell session\, but an in-depth review of how the model and solution were built\, the theory behind it\, and how other teams can replicate the same. Several years ago\, some audacious Markdown maven declared that DITA was getting “long in the tooth”. Now\, at the dawn of neuro-symbolic generative AI\, it turns out that DITA was indeed\, the future. \nKey Takeaways: \nLearn about the full story of a GraphRAG integration on top of DITA: \n• Learn how the model was built \n• Learn how the content graph as generated \n• Get an idea about the integration in a GraphRAG solution \n• Learn the theory behind it \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 Vladimir Alexiev Chief Data Architect at Graphwise \n Vladimir brings vivid IT experience with deep specialization in semantic technologies. Holding an MS and PhD in Computer Science and a PMP certification\, he has led R&D at software companies for over a decade\, working across cultural heritage\, industrial data\, and now power systems. His expertise spans ontology engineering\, knowledge graphs\, RDF/OWL\, SPARQL\, and semantic data integration: the full stack that makes complex\, fragmented data meaningful and machine-readable. At Graphwise\, Vladimir leads the technical vision behind Talk2PowerSystem\, applying semantic web principles to make power system models truly accessible through natural language. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andreas Kimsås Senior IT-architect at Statnett \n Simulation and system analysis of networks has been the main topic throughout his career. It involves various industries (Telecom\, Oil & Gas and now Electrical Grid Networks) and various roles (Ph.D researcher\, systems delivery engineer\, functional architect\, product owner and business domain architect). The assembly and practical use of digital twins is at the center of these activities\, but its complexity puts it out of reach for many of those who could and should be core users. The Talk2PowerSystem project was initiated by Andreas Kimsås in an attempt to democratize these models with the final objective to make it radically easier to use the models for power system analysis.  \n \n \n \n \n \n \n \n \n \n \n \n \n \n Svein Harald Olsen Enterprise Information Architect at Statnett \n Svein is an Enterprise Information Architect specializing in data interoperability and international standardization for the power sector. A member of IEC TC57 WG13 and WG14\, and liaison to ISO BIM and IDO\, he leads key initiatives in ENTSO-E including the CGMES and RCC NCP subgroups. \nRecipient of the IEC 1906 Award (2023)\, he focuses on enabling knowledge-centric architectures through Semantic Web technologies and Linked Data to support digital transformation in energy\, infrastructure\, and manufacturing. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Garcia-Castro Senior Enterprise Data Architect and Ontologist at Siemens \n Experienced and strategic Data Expert with 15+ years of experience delivering enterprise-scale data solutions across energy\, pharma\, procurement\, logistics\, manufacturing\, and chemicals. Senior Data Scientist\, AI Senior Expert\, FAIR Data Architect\, and Ontologist with a proven record of translating complex data challenges into scalable\, governed\, and semantically coherent architectures. Currently leading innovation aspects of the integration layer and AI-related toolkit at Siemens Energy.  Proven success in implementing data mesh principles\, domain-oriented modelling\, and self-service data platforms that scale across international organizations. Deep expertise in cloud-native architectures\, event-driven systems\, and enterprise integration platforms. Strong leadership record managing international teams and scaling global data capabilities across regions. Trusted to drive transformation\, elevate data quality at the source\, and enable intelligent automation across the enterprise. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev AI & Knowledge Engineer at Graphwise \n Andrey specializes in machine learning\, ontologies\, and knowledge graphs. He currently focuses on designing and testing high-fidelity AI agents\, with particular emphasis on building robust evaluation frameworks that ensure agent reliability\, quality\, and scalability. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Neli Hateva Senior Software Developer at Graphwise \n Neli is a Senior Software Developer at Graphwise with over 12 years of experience. With a background in Computer Science and a Master’s in Computational Linguistics\, she specializes in Java\, Python\, and ML/NLP. Since joining Ontotext in 2016\, Neli has focused on transforming state-of-the-art research into scalable\, real-world semantic applications. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Nikola Tulechki Knowledge Engineer at Graphwise \n Nikola is a linguist and knowledge engineer at Graphwise (formerly known as Ontotext) since 2017. Nikola is part of the Research and Innovations group and works on semantic data modelling and integration on various commercial and research projects. He is also the product owner of Ontotext Refine\, the free tool for data conversion built on top of Open Refine. He also did a PhD at Toulouse: NLP over with aerospace data. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Anderson \n Alexander received the Professional Science Masters in power systems engineering from Washington State University and PhD in systems engineering from Colorado State University. From 2016-2020\, Alex was a systems engineer at IncSys Corp\, providing large-scale simulation-based training to transmission system operators worldwide. Alex joined PNNL in 2021 focuses on data integration using the Common Information Model\, development of Agentic AI applications\, and human factors in utility control rooms. URL:https://graphwise.ai/event/graph-driven-rag-ai-powered-by-dita/ CATEGORIES:Webinar ATTACH;FMTTYPE=image/jpeg:https://graphwise.ai/wp-content/uploads/2025/03/csm_ie-header-Europe-1-1920x720_a835ba6df9.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250402 DTEND;VALUE=DATE:20250405 DTSTAMP:20260527T000351 CREATED:20250321T084737Z LAST-MODIFIED:20250521T150218Z UID:165280-1743552000-1743811199@graphwise.ai SUMMARY:Event: Bio-IT World Conference & Expo 2025 DESCRIPTION:Join Ilian Uzunov\, Sales Director Life-sciences\, Pharma\, Healthcare\, STM Publishing at Graphwise\, at the Bio-IT World Conference & Expo\, taking place from April 2-4\, 2025\, in Boston\, MA. The Bio-IT World Conference & Expo is the premier global event showcasing technologies and analytic approaches that solve problems\, accelerate science\, and drive the future of precision medicine. \nQuick Facts of the Bio-IT World Conference & Expo: \n\nThe conferences unites 2\,800+ leaders in life sciences\, pharmaceuticals\, clinical research\, healthcare\, informatics\, and technology\nThe event pushes the boundaries of biomedical research\, drug discovery and development\, and patient outcomes\nThe program features inspiring plenary keynotes\, 200+ educational and technical presentations\, interactive panels\, hands-on symposia\, technical workshops\, unparalleled networking opportunities\, and an exhibit hall showcasing cutting-edge technologies and solutions\n\nDon’t miss this opportunity to join an influential gathering where science and IT converge to advance precision medicine.  \nFor more information and to register for the event\, please visit Bio-IT World Conference & Expo. \n \n Register Now URL:https://graphwise.ai/event/bio-it-conference-expo-2025/ LOCATION:Omni Hotel Boston at the Seaport\, 450 Summer St.\, Boston\, MA\, 02210\, United States CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/03/event-card-bio-it-2025-736x475-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250325T170000 DTEND;TZID=Europe/Vienna:20250325T180000 DTSTAMP:20260527T000351 CREATED:20250307T141900Z LAST-MODIFIED:20260219T130046Z UID:164778-1742922000-1742925600@graphwise.ai SUMMARY:How Graphwise Drives AI-Ready Data and Knowledge Management DESCRIPTION:ON-DEMAND WEBINAR \n \n \n \n \n \n How Graphwise Drives AI-Ready Data and Knowledge Management\n \n \n \n \n \n \n \n \n \n March 25\, 2025 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev \n AI & Knowledge Engineer at Graphwise \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 12345678\n \n \n \n\n \n \n \n \n \n \n Fill out the form to watch this recorded webinar\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Watch Atanas Kiryakov\, President of Graphwise\, and Andreas Blumauer\, SVP Growth\, for an insightful webinar on how Graphwise’s unique offerings revolutionize enterprise data and knowledge management. Discover how Graphwise’s platform leverages knowledge graphs to enhance AI by integrating domain knowledge and diverse data\, addressing LLM hallucinations\, and boosting AI model accuracy through reasoning. Learn how Graphwise’s solutions improve search\, recommendations\, and overall AI performance\, leading to better business decisions and efficient processes. \nSee Graphwise in Action: \nExplore real-world use cases and discover how Graphwise’s solutions have helped organizations achieve tangible results. Learn how Graphwise helped a biopharmaceutical company to build an Enterprise Data Fabric\, enabling them to process company-wide data as structured knowledge graphs. This resulted in faster deployment of LLMs and the ability to scale up to 20 to 30 million records\, automating business processes such as submissions for authorities. \nDiscover how Graphwise enabled a Top-10 global bank to achieve a holistic view of their IT assets\, supporting their merger with another bank and reducing time to insight. This led to faster insights\, reduced infrastructure costs\, and enhanced data governance. These examples illustrate how Graphwise can drive concrete business benefits and improve operational efficiency. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Key Takeaways:\n \n \n \n \n \n \n \n \n \n Overcome the “Bad Data Tax”: Learn how Graphwise helps organizations avoid the high costs and inefficiencies associated with managing data silos. \n \n \n \n \n \n \n \n \n \n \n \n Enhance AI with Knowledge Graphs: Discover how Graphwise integrates domain knowledge and diverse data to improve AI accuracy and reduce hallucinations. \n \n \n \n \n \n \n \n \n \n \n \n Boost AI Performance: Understand how Graphwise’s graph engine enables reasoning and inferencing\, leading to enhanced AI model accuracy. \n \n \n \n \n \n \n \n \n \n \n \n Improve Search and Recommendations: Explore how Graphwise’s solutions create personalized recommendation systems and enhance search capabilities. \n \n \n \n \n \n \n \n \n \n \n \n Drive Business Value: See how Graphwise helps organizations unlock transformative insights from their data\, leading to significant business growth. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Watch now to gain valuable insights into how Graphwise can help your organization achieve its data and knowledge management goals. \n \n \n \n \n \n \n \n \n \n \n \n \n \n WATCH NOW\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n Speakers\n \n \n \n \n \n \n \n \n \n \n \n \n Vladimir Alexiev Chief Data Architect at Graphwise \n Vladimir brings vivid IT experience with deep specialization in semantic technologies. Holding an MS and PhD in Computer Science and a PMP certification\, he has led R&D at software companies for over a decade\, working across cultural heritage\, industrial data\, and now power systems. His expertise spans ontology engineering\, knowledge graphs\, RDF/OWL\, SPARQL\, and semantic data integration: the full stack that makes complex\, fragmented data meaningful and machine-readable. At Graphwise\, Vladimir leads the technical vision behind Talk2PowerSystem\, applying semantic web principles to make power system models truly accessible through natural language. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andreas Kimsås Senior IT-architect at Statnett \n Simulation and system analysis of networks has been the main topic throughout his career. It involves various industries (Telecom\, Oil & Gas and now Electrical Grid Networks) and various roles (Ph.D researcher\, systems delivery engineer\, functional architect\, product owner and business domain architect). The assembly and practical use of digital twins is at the center of these activities\, but its complexity puts it out of reach for many of those who could and should be core users. The Talk2PowerSystem project was initiated by Andreas Kimsås in an attempt to democratize these models with the final objective to make it radically easier to use the models for power system analysis.  \n \n \n \n \n \n \n \n \n \n \n \n \n \n Svein Harald Olsen Enterprise Information Architect at Statnett \n Svein is an Enterprise Information Architect specializing in data interoperability and international standardization for the power sector. A member of IEC TC57 WG13 and WG14\, and liaison to ISO BIM and IDO\, he leads key initiatives in ENTSO-E including the CGMES and RCC NCP subgroups. \nRecipient of the IEC 1906 Award (2023)\, he focuses on enabling knowledge-centric architectures through Semantic Web technologies and Linked Data to support digital transformation in energy\, infrastructure\, and manufacturing. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Garcia-Castro Senior Enterprise Data Architect and Ontologist at Siemens \n Experienced and strategic Data Expert with 15+ years of experience delivering enterprise-scale data solutions across energy\, pharma\, procurement\, logistics\, manufacturing\, and chemicals. Senior Data Scientist\, AI Senior Expert\, FAIR Data Architect\, and Ontologist with a proven record of translating complex data challenges into scalable\, governed\, and semantically coherent architectures. Currently leading innovation aspects of the integration layer and AI-related toolkit at Siemens Energy.  Proven success in implementing data mesh principles\, domain-oriented modelling\, and self-service data platforms that scale across international organizations. Deep expertise in cloud-native architectures\, event-driven systems\, and enterprise integration platforms. Strong leadership record managing international teams and scaling global data capabilities across regions. Trusted to drive transformation\, elevate data quality at the source\, and enable intelligent automation across the enterprise. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev AI & Knowledge Engineer at Graphwise \n Andrey specializes in machine learning\, ontologies\, and knowledge graphs. He currently focuses on designing and testing high-fidelity AI agents\, with particular emphasis on building robust evaluation frameworks that ensure agent reliability\, quality\, and scalability. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Neli Hateva Senior Software Developer at Graphwise \n Neli is a Senior Software Developer at Graphwise with over 12 years of experience. With a background in Computer Science and a Master’s in Computational Linguistics\, she specializes in Java\, Python\, and ML/NLP. Since joining Ontotext in 2016\, Neli has focused on transforming state-of-the-art research into scalable\, real-world semantic applications. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Nikola Tulechki Knowledge Engineer at Graphwise \n Nikola is a linguist and knowledge engineer at Graphwise (formerly known as Ontotext) since 2017. Nikola is part of the Research and Innovations group and works on semantic data modelling and integration on various commercial and research projects. He is also the product owner of Ontotext Refine\, the free tool for data conversion built on top of Open Refine. He also did a PhD at Toulouse: NLP over with aerospace data. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Anderson \n Alexander received the Professional Science Masters in power systems engineering from Washington State University and PhD in systems engineering from Colorado State University. From 2016-2020\, Alex was a systems engineer at IncSys Corp\, providing large-scale simulation-based training to transmission system operators worldwide. Alex joined PNNL in 2021 focuses on data integration using the Common Information Model\, development of Agentic AI applications\, and human factors in utility control rooms. URL:https://graphwise.ai/event/how-graphwise-drives-ai-ready-data-and-knowledge-management/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/03/webinar-March-25th-How-Graphwise-Drives-AI-Ready-Data-and-Knowledge-Management-2000-x-1000-px.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250313T200000 DTEND;TZID=Europe/Vienna:20250313T210000 DTSTAMP:20260527T000351 CREATED:20250226T105258Z LAST-MODIFIED:20260219T130731Z UID:164413-1741896000-1741899600@graphwise.ai SUMMARY:Empowering LLMs with a Semantic Layer DESCRIPTION:On-Demand WEBINAR \n \n \n \n \n \n Empowering LLMs with a Semantic Layer\n \n \n \n \n \n Harnessing the Power of a Semantic Layer to Elevate your LLM \n \n \n \n \n \n \n \n \n \n March 13\, 2025 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev \n AI & Knowledge Engineer at Graphwise \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 12345678\n \n \n \n\n \n \n \n \n \n \n Fill out the form to watch this webinar\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Unlocking the Secrets to Teaching your LLM \nA semantic layer for Large Language Models (LLMs) provides a structured framework for interpreting and organizing information\, enabling more contextually accurate and meaningful interactions. By integrating semantic layers\, LLMs can better understand complex relationships among concepts\, leading to improved reasoning capabilities and more nuanced responses across a wide range of business applications. \nWatch now to be part of this insightful roundtable with Graphwise and Vertesia. \n \n \n \n \n \n \n \n \n \n \n \n \n \n WATCH NOW\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n Speakers\n \n \n \n \n \n \n \n \n \n \n \n \n Vladimir Alexiev Chief Data Architect at Graphwise \n Vladimir brings vivid IT experience with deep specialization in semantic technologies. Holding an MS and PhD in Computer Science and a PMP certification\, he has led R&D at software companies for over a decade\, working across cultural heritage\, industrial data\, and now power systems. His expertise spans ontology engineering\, knowledge graphs\, RDF/OWL\, SPARQL\, and semantic data integration: the full stack that makes complex\, fragmented data meaningful and machine-readable. At Graphwise\, Vladimir leads the technical vision behind Talk2PowerSystem\, applying semantic web principles to make power system models truly accessible through natural language. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andreas Kimsås Senior IT-architect at Statnett \n Simulation and system analysis of networks has been the main topic throughout his career. It involves various industries (Telecom\, Oil & Gas and now Electrical Grid Networks) and various roles (Ph.D researcher\, systems delivery engineer\, functional architect\, product owner and business domain architect). The assembly and practical use of digital twins is at the center of these activities\, but its complexity puts it out of reach for many of those who could and should be core users. The Talk2PowerSystem project was initiated by Andreas Kimsås in an attempt to democratize these models with the final objective to make it radically easier to use the models for power system analysis.  \n \n \n \n \n \n \n \n \n \n \n \n \n \n Svein Harald Olsen Enterprise Information Architect at Statnett \n Svein is an Enterprise Information Architect specializing in data interoperability and international standardization for the power sector. A member of IEC TC57 WG13 and WG14\, and liaison to ISO BIM and IDO\, he leads key initiatives in ENTSO-E including the CGMES and RCC NCP subgroups. \nRecipient of the IEC 1906 Award (2023)\, he focuses on enabling knowledge-centric architectures through Semantic Web technologies and Linked Data to support digital transformation in energy\, infrastructure\, and manufacturing. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Garcia-Castro Senior Enterprise Data Architect and Ontologist at Siemens \n Experienced and strategic Data Expert with 15+ years of experience delivering enterprise-scale data solutions across energy\, pharma\, procurement\, logistics\, manufacturing\, and chemicals. Senior Data Scientist\, AI Senior Expert\, FAIR Data Architect\, and Ontologist with a proven record of translating complex data challenges into scalable\, governed\, and semantically coherent architectures. Currently leading innovation aspects of the integration layer and AI-related toolkit at Siemens Energy.  Proven success in implementing data mesh principles\, domain-oriented modelling\, and self-service data platforms that scale across international organizations. Deep expertise in cloud-native architectures\, event-driven systems\, and enterprise integration platforms. Strong leadership record managing international teams and scaling global data capabilities across regions. Trusted to drive transformation\, elevate data quality at the source\, and enable intelligent automation across the enterprise. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev AI & Knowledge Engineer at Graphwise \n Andrey specializes in machine learning\, ontologies\, and knowledge graphs. He currently focuses on designing and testing high-fidelity AI agents\, with particular emphasis on building robust evaluation frameworks that ensure agent reliability\, quality\, and scalability. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Neli Hateva Senior Software Developer at Graphwise \n Neli is a Senior Software Developer at Graphwise with over 12 years of experience. With a background in Computer Science and a Master’s in Computational Linguistics\, she specializes in Java\, Python\, and ML/NLP. Since joining Ontotext in 2016\, Neli has focused on transforming state-of-the-art research into scalable\, real-world semantic applications. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Nikola Tulechki Knowledge Engineer at Graphwise \n Nikola is a linguist and knowledge engineer at Graphwise (formerly known as Ontotext) since 2017. Nikola is part of the Research and Innovations group and works on semantic data modelling and integration on various commercial and research projects. He is also the product owner of Ontotext Refine\, the free tool for data conversion built on top of Open Refine. He also did a PhD at Toulouse: NLP over with aerospace data. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Anderson \n Alexander received the Professional Science Masters in power systems engineering from Washington State University and PhD in systems engineering from Colorado State University. From 2016-2020\, Alex was a systems engineer at IncSys Corp\, providing large-scale simulation-based training to transmission system operators worldwide. Alex joined PNNL in 2021 focuses on data integration using the Common Information Model\, development of Agentic AI applications\, and human factors in utility control rooms. URL:https://graphwise.ai/event/empowering-llm-semantic-layer/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/02/EmpoweringLLMsSemanticLayer_March13_2025.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250313T170000 DTEND;TZID=Europe/Vienna:20250313T200000 DTSTAMP:20260527T000351 CREATED:20250227T125458Z LAST-MODIFIED:20250521T150250Z UID:164544-1741885200-1741896000@graphwise.ai SUMMARY:Knowledge Graphs & AI in Healthcare: Paris Meetup DESCRIPTION:Join us for an exclusive in-person meetup in Paris\, bringing together industry leaders and experts to explore how knowledge graphs and AI are transforming the healthcare and life sciences sectors. This event will feature insightful presentations\, real-world case studies\, and networking opportunities with top professionals in data science\, AI\, and healthcare informatics. \nWhy Attend?\n\nGain insights into real-world applications of knowledge graphs and AI in healthcare.\nLearn from leading experts on data interoperability\, semantic modeling\, and AI-driven knowledge extraction.\nNetwork with peers over drinks and a cocktail reception.\n\nAgenda\n4:30 PM – 5:00 PM | Arrival\, Drinks & NetworkingConnect with industry peers in a relaxed setting before the presentations begin. \n5:00 PM – 7:00 PM | Expert Presentations \n1. Contextualizing R&D Data at Servier: The In-Vivo Use Case with Ontologies and LLMs\nSpeakers: Christopher Arnoll\, Data Architect & Joffrey Cesbron\, Data Engineer – ServierOverview: Learn how Servier is using semantic modeling and LLM-based platforms to improve knowledge sharing across R&D departments and enhance data accessibility. \n2. Orchestrating Data Semantics for Healthcare Professions\nSpeaker: Guillaume Rachez\, Head of Product – Perfect MemoryOverview: Discover how Perfect Memory’s Knowledge Operating System is tackling the challenge of data heterogeneity in healthcare to improve efficiency\, quality\, and trust in data usage. \n3. Multi-Terminology Server and Semantic Interoperability in Healthcare\nSpeakers: Thierry Dart\, Medical Director\, and Yann Briand\, Pharmacist Expert in Semantics – ANSOverview: Explore how ANS developed a multi-terminology server using data graphs to enhance interoperability in healthcare information systems. \n4. Structuring Psychiatric Data with Knowledge Graphs\nSpeaker: Amel Raboudi\, Data Project Manager – FealinxOverview: See how knowledge graphs are transforming psychiatric data management\, improving traceability\, and enabling better clinical insights. \n7:00 PM – 8:00 PM | Cocktail & NetworkingWrap up the evening with drinks and discussions\, expanding your professional network in the field of knowledge graphs and AI. \nWho Should I Attend?\n\nHealthcare and life sciences professionals working with data.\nAI and data science experts focused on semantic technologies.\nResearchers and engineers interested in knowledge graphs and interoperability.\n\nLimited spots available – secure your seat today! \n \n register now URL:https://graphwise.ai/event/knowledge-graphs-ai-healthcare-paris-meetup/ LOCATION:BOPE Paris – Petits Hôtels\, 13 Rue des Petits Hôtels\, 75010 Paris\, BOPE Paris - Petits Hôtels\, 13 Rue des Petits Hôtels\, Paris\, 75010\, France CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/02/paris-meetup-healthcare.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250303 DTEND;VALUE=DATE:20250306 DTSTAMP:20260527T000351 CREATED:20250129T112247Z LAST-MODIFIED:20250521T150418Z UID:163388-1740960000-1741219199@graphwise.ai SUMMARY:Gartner Data & Analytics Summit DESCRIPTION:Join us at the Gartner Data & Analytics Summit\, taking place from March 3-5\, 2025\, in sunny Orlando\, FL. It is a key event for leaders in data\, analytics\, and AI to explore the latest trends and techniques in data management and governance. \nQuick Facts of the Gartner Data & Analytics Summit: \n\nThe summit focuses on data management\, trends\, governance\, and architecture.\nIt is based on reliable insights from extensive conversations between Gartner experts and the IT community.\nA global team of over 60 experts will assist attendees in creating and validating their strategies with actionable insights.\nAttendees can network with more than 5\,000 industry leaders and over 120 solution providers.\n\nUnlock the opportunity to gain invaluable insights from industry leaders\, access personalized strategies designed to elevate your enterprise\, and embark on a journey to expand and fortify your professional network. This is your moment to connect\, learn\, and grow with like-minded professionals who are eager to share their knowledge and experiences. \nFor more information and to register for the event\, please visit Gartner Data & Analytics Summit. \n \n register now URL:https://graphwise.ai/event/gartner-data-analytics-summit/ LOCATION:Gaylord Palms Resort & Convention Center\, 6000 W. Osceola Parkway\, Kissimmee\, FL\, 34746\, United States CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/01/2023-05-23-edjlali-wide-photo.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250226T160000 DTEND;TZID=Europe/Vienna:20250226T170000 DTSTAMP:20260527T000351 CREATED:20250227T091606Z LAST-MODIFIED:20260219T130454Z UID:163901-1740585600-1740589200@graphwise.ai SUMMARY:Graphwise for M365 DESCRIPTION:On-Demand WEBINAR \n \n \n \n \n \n Graphwise for M365\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 \n \n \n \n \n \n\n\n\n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev \n AI & Knowledge Engineer at Graphwise \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 12345678\n \n \n \n\n \n \n \n \n \n \n Fill out the form to register for this webinar\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 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. \n \n \n \n \n \n \n \n \n \n \n \n \n \n WATCH NOW\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 Vladimir Alexiev Chief Data Architect at Graphwise \n Vladimir brings vivid IT experience with deep specialization in semantic technologies. Holding an MS and PhD in Computer Science and a PMP certification\, he has led R&D at software companies for over a decade\, working across cultural heritage\, industrial data\, and now power systems. His expertise spans ontology engineering\, knowledge graphs\, RDF/OWL\, SPARQL\, and semantic data integration: the full stack that makes complex\, fragmented data meaningful and machine-readable. At Graphwise\, Vladimir leads the technical vision behind Talk2PowerSystem\, applying semantic web principles to make power system models truly accessible through natural language. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andreas Kimsås Senior IT-architect at Statnett \n Simulation and system analysis of networks has been the main topic throughout his career. It involves various industries (Telecom\, Oil & Gas and now Electrical Grid Networks) and various roles (Ph.D researcher\, systems delivery engineer\, functional architect\, product owner and business domain architect). The assembly and practical use of digital twins is at the center of these activities\, but its complexity puts it out of reach for many of those who could and should be core users. The Talk2PowerSystem project was initiated by Andreas Kimsås in an attempt to democratize these models with the final objective to make it radically easier to use the models for power system analysis.  \n \n \n \n \n \n \n \n \n \n \n \n \n \n Svein Harald Olsen Enterprise Information Architect at Statnett \n Svein is an Enterprise Information Architect specializing in data interoperability and international standardization for the power sector. A member of IEC TC57 WG13 and WG14\, and liaison to ISO BIM and IDO\, he leads key initiatives in ENTSO-E including the CGMES and RCC NCP subgroups. \nRecipient of the IEC 1906 Award (2023)\, he focuses on enabling knowledge-centric architectures through Semantic Web technologies and Linked Data to support digital transformation in energy\, infrastructure\, and manufacturing. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Garcia-Castro Senior Enterprise Data Architect and Ontologist at Siemens \n Experienced and strategic Data Expert with 15+ years of experience delivering enterprise-scale data solutions across energy\, pharma\, procurement\, logistics\, manufacturing\, and chemicals. Senior Data Scientist\, AI Senior Expert\, FAIR Data Architect\, and Ontologist with a proven record of translating complex data challenges into scalable\, governed\, and semantically coherent architectures. Currently leading innovation aspects of the integration layer and AI-related toolkit at Siemens Energy.  Proven success in implementing data mesh principles\, domain-oriented modelling\, and self-service data platforms that scale across international organizations. Deep expertise in cloud-native architectures\, event-driven systems\, and enterprise integration platforms. Strong leadership record managing international teams and scaling global data capabilities across regions. Trusted to drive transformation\, elevate data quality at the source\, and enable intelligent automation across the enterprise. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev AI & Knowledge Engineer at Graphwise \n Andrey specializes in machine learning\, ontologies\, and knowledge graphs. He currently focuses on designing and testing high-fidelity AI agents\, with particular emphasis on building robust evaluation frameworks that ensure agent reliability\, quality\, and scalability. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Neli Hateva Senior Software Developer at Graphwise \n Neli is a Senior Software Developer at Graphwise with over 12 years of experience. With a background in Computer Science and a Master’s in Computational Linguistics\, she specializes in Java\, Python\, and ML/NLP. Since joining Ontotext in 2016\, Neli has focused on transforming state-of-the-art research into scalable\, real-world semantic applications. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Nikola Tulechki Knowledge Engineer at Graphwise \n Nikola is a linguist and knowledge engineer at Graphwise (formerly known as Ontotext) since 2017. Nikola is part of the Research and Innovations group and works on semantic data modelling and integration on various commercial and research projects. He is also the product owner of Ontotext Refine\, the free tool for data conversion built on top of Open Refine. He also did a PhD at Toulouse: NLP over with aerospace data. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Anderson \n Alexander received the Professional Science Masters in power systems engineering from Washington State University and PhD in systems engineering from Colorado State University. From 2016-2020\, Alex was a systems engineer at IncSys Corp\, providing large-scale simulation-based training to transmission system operators worldwide. Alex joined PNNL in 2021 focuses on data integration using the Common Information Model\, development of Agentic AI applications\, and human factors in utility control rooms. URL:https://graphwise.ai/event/webinar-graphwise-for-m365/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/02/Graphwise-M365-FeaturedIMG.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250205T170000 DTEND;TZID=Europe/Vienna:20250205T180000 DTSTAMP:20260527T000351 CREATED:20250206T122537Z LAST-MODIFIED:20260219T131142Z UID:11566-1738774800-1738778400@graphwise.ai SUMMARY:Discover the next major trend in AI DESCRIPTION:On-demand WEBINAR \n \n \n \n \n \n Discover the next major trend in AI\n \n \n \n \n \n Find mixture of Knowledge AI & Data AI (Causal AI) to power agents\n \n \n \n \n \n \n \n \n \n February 5\, 2025 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Fill out the form to watch this webinar\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Discover the next major trend in AI.\nLearn about techniques that make AI models robust\, explainable\, and fair while making accurate predictions based on causes rather than correlation with examples & use cases from industry. \nLearn from experts to unravel the intricate web of cause-and-effect relationships that govern business operations\, leverage enterprise knowledge to simulate “what-if” scenarios\, and deliver optimal decision-making with agents. \nIdentify nuanced patterns\, anomalies\, and automation opportunities for operational efficiency to identify bottlenecks and constraints and enhance end-to-end business KPI visibility\, improving enterprise decision control.\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n What You Will Learn\n \n \n \n \n \n The webinar covers real-life scenarios/problems solved from 2-3 domains – spending 5-7 min on each. \n \n \n \n \n \n \n \n \n \n Problems with traditional AI\n \n \n \n \n \n \n \n \n \n \n \n Why Knowledge and Data AI – Causal AI is needed to solve traditional AI challenges\n \n \n \n \n \n \n \n \n \n \n \n Demo use cases with Causal AI – Asset performance monitoring for the industrial sector \n \n \n \n \n \n \n \n \n \n \n \n \n\nROI / benefits of the approach \n\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Watch now\n \n \n \n \n \n Speakers\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Sumit Pal\n Strategic Technology Director at Graphwise \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Todd Blaschka\n Chief Strategy Advisor at Graphwise (Former Tigergraph - CCO and CRO) \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Jonathan Doan\n Head of Sales at Parabole.ai \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Rajib Saha\n Co-Founder and CEO at Parabole.ai \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Aditya Narayanamoorthy\n Senior Solutions Architect URL:https://graphwise.ai/event/webinar-discover-the-next-major-trend-in-ai/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/webp:https://graphwise.ai/wp-content/uploads/2025/01/01-Discover-the-next-major-trend-in-AI-mixture-of-Knowledge-AI-Data-AI-Causal-AI-to-power-agents-3.webp END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250123T150000 DTEND;TZID=Europe/Vienna:20250123T160000 DTSTAMP:20260527T000351 CREATED:20250127T133535Z LAST-MODIFIED:20260225T110359Z UID:11537-1737644400-1737648000@graphwise.ai SUMMARY:Get AI Ready with Graph Center of Excellence DESCRIPTION:On-demand WEBINAR \n \n \n \n \n \n Get AI Ready with Graph Center of Excellence\n \n \n \n \n \n Rethinking Enterprise Data Management for the Age of AI \n \n \n \n \n \n \n \n \n \n January 23\, 2025 \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n\n \n \n \n \n \n \n \n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev \n AI & Knowledge Engineer at Graphwise \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n 12345678\n \n \n \n\n \n \n \n \n \n \n Fill out the form to watch this webinar\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n At the dawn of AI\, organizations are still struggling to connect the dots across siloed\, heterogeneous data\, with data governance\, trust\, low data quality\, and much more\, all of which hold back enterprise AI projects. \nGraph technologies are a critical enabler for executing data-driven strategies in the age of AI. Graph-based approaches enhance and simplify data management\, yielding significant cost savings and drastically improving the ability to extract value and insights from data and incorporate them into business decisions and processes. \nThis webinar brings together experts who brainstorm and discuss the crucial need for organizations to cultivate graph technology capabilities to simplify and improve data integration and governance across data silos. It explores how these technologies can enable a wide range of improved outcomes with data\, delivering new capabilities in data analytics and automation that would otherwise be impossible. \nJoin this webinar to explore the rationale for adopting graph technologies strategically in the enterprise by outlining the process of building a Graph Center of Excellence (CoE)\, highlighting its importance\, use cases\, initiation points\, governance requirements\, and best practices for successful implementation. \nAudience: C Level Execs – CDOs\, CDAOs\, CTO\, Enterprise Data Architects \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n What You Will Learn\n \n \n \n \n \n \n \n \n \n Why Organizations Need to Change Their Data Management Paradigm \n \n \n \n \n \n \n \n \n \n \n \n The “Bad Data Tax” Organizations are repeatedly paying with low payoff \n \n \n \n \n \n \n \n \n \n \n \n The Solution to the Data Dilemma \n \n \n \n \n \n \n \n \n \n \n \n Building the Graph Center of Excellence \n\nKey Elements of the Graph CoE\nStrategic Graph Deployment\nUse Cases\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Watch NOW\n \n \n \n \n \n Speakers\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Brandon Richards\n General Manager APAC at Graphwise \n Brandon has spent the last 8 years helping hundreds of enterprises across APAC on their graph technology journey at both Graphwise (Ontotext) and Neo4j. During that time\, he has focused on shifting the “graph” conversations to C-level and senior executives for a more strategic approach to their digital transformations. Prior to that\, he spent 6 years at Oracle working with strategic accounts and founded and managed a commercial real estate strategy firm in Silicon Valley for over 4 years. Brandon is currently based in Kuala Lumpur\, Malaysia. \n LinkedIn\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Sumit Pal\n Strategic Technology Director at Graphwise \n Sumit Pal is an Ex-Gartner VP Analyst in Data Management & Analytics space. Sumit has more than 30 years of experience in the data and Software Industry in various roles spanning companies from startups to enterprise organizations in building\, managing and guiding teams and building scalable software systems across the stack from middle tier\, data layer\, analytics and UI using Big Data\, NoSQL\, DB Internals\, Data Warehousing\, Data Modeling\, Data Science and middle tier. \n LinkedIn\n \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 Vladimir Alexiev Chief Data Architect at Graphwise \n Vladimir brings vivid IT experience with deep specialization in semantic technologies. Holding an MS and PhD in Computer Science and a PMP certification\, he has led R&D at software companies for over a decade\, working across cultural heritage\, industrial data\, and now power systems. His expertise spans ontology engineering\, knowledge graphs\, RDF/OWL\, SPARQL\, and semantic data integration: the full stack that makes complex\, fragmented data meaningful and machine-readable. At Graphwise\, Vladimir leads the technical vision behind Talk2PowerSystem\, applying semantic web principles to make power system models truly accessible through natural language. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andreas Kimsås Senior IT-architect at Statnett \n Simulation and system analysis of networks has been the main topic throughout his career. It involves various industries (Telecom\, Oil & Gas and now Electrical Grid Networks) and various roles (Ph.D researcher\, systems delivery engineer\, functional architect\, product owner and business domain architect). The assembly and practical use of digital twins is at the center of these activities\, but its complexity puts it out of reach for many of those who could and should be core users. The Talk2PowerSystem project was initiated by Andreas Kimsås in an attempt to democratize these models with the final objective to make it radically easier to use the models for power system analysis.  \n \n \n \n \n \n \n \n \n \n \n \n \n \n Svein Harald Olsen Enterprise Information Architect at Statnett \n Svein is an Enterprise Information Architect specializing in data interoperability and international standardization for the power sector. A member of IEC TC57 WG13 and WG14\, and liaison to ISO BIM and IDO\, he leads key initiatives in ENTSO-E including the CGMES and RCC NCP subgroups. \nRecipient of the IEC 1906 Award (2023)\, he focuses on enabling knowledge-centric architectures through Semantic Web technologies and Linked Data to support digital transformation in energy\, infrastructure\, and manufacturing. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Garcia-Castro Senior Enterprise Data Architect and Ontologist at Siemens \n Experienced and strategic Data Expert with 15+ years of experience delivering enterprise-scale data solutions across energy\, pharma\, procurement\, logistics\, manufacturing\, and chemicals. Senior Data Scientist\, AI Senior Expert\, FAIR Data Architect\, and Ontologist with a proven record of translating complex data challenges into scalable\, governed\, and semantically coherent architectures. Currently leading innovation aspects of the integration layer and AI-related toolkit at Siemens Energy.  Proven success in implementing data mesh principles\, domain-oriented modelling\, and self-service data platforms that scale across international organizations. Deep expertise in cloud-native architectures\, event-driven systems\, and enterprise integration platforms. Strong leadership record managing international teams and scaling global data capabilities across regions. Trusted to drive transformation\, elevate data quality at the source\, and enable intelligent automation across the enterprise. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Andrey Tagarev AI & Knowledge Engineer at Graphwise \n Andrey specializes in machine learning\, ontologies\, and knowledge graphs. He currently focuses on designing and testing high-fidelity AI agents\, with particular emphasis on building robust evaluation frameworks that ensure agent reliability\, quality\, and scalability. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Neli Hateva Senior Software Developer at Graphwise \n Neli is a Senior Software Developer at Graphwise with over 12 years of experience. With a background in Computer Science and a Master’s in Computational Linguistics\, she specializes in Java\, Python\, and ML/NLP. Since joining Ontotext in 2016\, Neli has focused on transforming state-of-the-art research into scalable\, real-world semantic applications. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Nikola Tulechki Knowledge Engineer at Graphwise \n Nikola is a linguist and knowledge engineer at Graphwise (formerly known as Ontotext) since 2017. Nikola is part of the Research and Innovations group and works on semantic data modelling and integration on various commercial and research projects. He is also the product owner of Ontotext Refine\, the free tool for data conversion built on top of Open Refine. He also did a PhD at Toulouse: NLP over with aerospace data. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Alexander Anderson \n Alexander received the Professional Science Masters in power systems engineering from Washington State University and PhD in systems engineering from Colorado State University. From 2016-2020\, Alex was a systems engineer at IncSys Corp\, providing large-scale simulation-based training to transmission system operators worldwide. Alex joined PNNL in 2021 focuses on data integration using the Common Information Model\, development of Agentic AI applications\, and human factors in utility control rooms. URL:https://graphwise.ai/event/get-ai-ready-with-graph-center-of-excellence/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/webp:https://graphwise.ai/wp-content/uploads/2024/12/01-Webinar-Get-AI-Ready-with-Graph-Center-of-Excellence.webp END:VEVENT END:VCALENDAR