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;TZID=Europe/Vienna:20250724T200000 DTEND;TZID=Europe/Vienna:20250724T210000 DTSTAMP:20260526T200352 CREATED:20250618T144119Z LAST-MODIFIED:20260219T120703Z UID:239479-1753387200-1753390800@graphwise.ai SUMMARY:Is Your Data Ready for AI? DESCRIPTION:On-Demand WEBINAR \n \n \n \n \n \n Is Your Data Ready for AI?\n \n \n \n \n \n How to Build a Solid Foundation \n \n \n \n \n \n \n \n \n \n\n\n\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 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 As AI adoption continues to accelerate\, the pressure is on IT leaders and data teams to deliver clean\, reliable and scalable data pipelines. At the same time\, building an AI-ready data foundation requires more than just cleaning up tables – it takes the right architecture\, governance and tools. \nWatch this special roundtable webinar that explores proven best practices\, modern architecture strategies\, and new technologies to optimize your data for successful AI deployment. \nThis expert panel dives into: \n\nThe key technical requirements for AI-ready data\nBest practices for data quality\, integration\, and lineage\nArchitectures that support scale: from data lakes to real-time pipelines\nTools and platforms to streamline AI data prep: from ingestion to semantic enrichment\nHow to align infrastructure with business-driven AI initiatives\n\nWhether you’re managing infrastructure\, pipelines\, or platforms\, this session will give you the practical guidance to build a future-proof data environment for AI. \n \n \n \n \n \n \n \n \n \n \n \n \n \n Watch Now URL:https://graphwise.ai/event/is-your-data-ready-for-ai-dbta-2025/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/06/Screenshot-2025-06-18-at-16.24.23.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250716T150000 DTEND;TZID=Europe/Vienna:20250716T160000 DTSTAMP:20260526T200352 CREATED:20250626T110010Z LAST-MODIFIED:20260225T105804Z UID:239612-1752678000-1752681600@graphwise.ai SUMMARY:Graph RAG - Why Your RAG Needs a Graph DESCRIPTION:On-Demand WEBINAR \n \n \n \n \n \n Graph RAG – Why Your RAG Needs a Graph\n \n \n \n \n \n Unifying Structured and Unstructured Data in Graph to Give Context \n \n \n \n \n \n \n \n \n \n July 16\, 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 Chunk Is Dead\, Long Live the Graph RAG! \nAs AI applications increasingly rely on large language models (LLMs) for search\, summarization\, and decision support\, one major limitation persists: traditional Retrieval-Augmented Generation (RAG) systems often treat knowledge as disconnected chunks of text\, missing the deeper context behind relationships. But what if we could connect the dots more intelligently? \nSmarter Retrieval for Smarter AI \nIn this on-demand webinar\, we introduce a graph-based approach to RAG that leverages the power of knowledge graphs to represent meaning more holistically. By structuring information as a web of semantic relationships\, this method enables LLMs to retrieve and generate content that is not only more accurate but also more contextually aware. \nWatch Márcia R. Ferreira and Astrid Krickl\, Data and Knowledge Engineers at Graphwise\, as they walk through the Graphwise Graph RAG framework—an innovative architecture that enhances semantic retrieval using graph-connected data. Through real-world use cases and the Graphwise platform\, they’ll demonstrate how this approach bridges gaps left by chunk-based methods and discuss practical implementation challenges often overlooked in AI pipelines. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Discover these key takeaways:\n \n \n \n \n \n \n \n \n \n Knowledge Graphs are Everywhere: Fortune 500 companies are using them\, are you? \n \n \n \n \n \n \n \n \n \n \n \n Graph vs Knowledge Graph: Learn what differentiates a Knowledge Graph from a regular Graph. \n \n \n \n \n \n \n \n \n \n \n \n Enterprise Structure: Find out the secret recipe for Knowledge Graphs and LLMs in an enterprise. \n \n \n \n \n \n \n \n \n \n \n \n Vector and Graph: What are the differences and benefits of vector-based RAG and a graph-based RAG approach? \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 \n Whether you’re designing search systems\, building intelligent assistants\, or architecting AI solutions\, this webinar will give you a fresh perspective on integrating structured knowledge into modern workflows.\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/webinar-graph-rag-why-your-rag-needs-a-graph/ LOCATION:Online CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/07/WebFeatImg_WhyGraphNeedRag_16172025.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250623 DTEND;VALUE=DATE:20250628 DTSTAMP:20260526T200352 CREATED:20250618T130328Z LAST-MODIFIED:20250618T130329Z UID:164350-1750636800-1751068799@graphwise.ai SUMMARY:Microsoft 365\, Data & Power Platform Conference DESCRIPTION:The ultimate gathering for Microsoft technology professionals and innovators! Held in the vibrant city of Seattle\, our event brings together three specialized conferences—TechCon 365\, PWRCON\, and DATACON—each offering deep\, targeted insights into key areas of the Microsoft ecosystem. Attendees have the unique flexibility to mix and match sessions across all three events\, crafting a personalized agenda that fits their goals. \nTechCon 365TechCon 365 is your go-to conference for everything Microsoft 365. Designed to boost workplace productivity and collaboration\, it offers expert-led sessions on tools like Microsoft Teams\, SharePoint\, OneDrive\, Loop\, OneNote\, and Copilot. Discover how to create a seamless digital workplace that enhances communication\, engagement\, and teamwork. \nPWRCONPWRCON dives deep into the Microsoft Power Platform\, empowering both citizen developers and IT professionals to streamline and innovate business processes. Learn how to build impactful solutions with Power BI\, Power Apps\, Power Automate\, Power Pages\, and Copilot Studio—no coding required. \nDATACONDATACON is tailored for data professionals and analysts who want to harness the full potential of Microsoft Azure’s data capabilities. Key topics include Azure SQL\, data warehousing\, Microsoft Fabric\, and advanced analytics. Gain the skills to turn complex data into actionable insights that drive smarter decisions. \nWhat you can expect from these conferences: \n\nIn-depth technical sessions: Tailored for all experience levels.\nHands-on workshops: Gain practical knowledge through interactive demos.\nNetworking opportunities: Connect with peers and thought leaders.\nLatest technologies: Stay ahead with cutting-edge Microsoft tools and best practices.\nReal-world solutions: Apply what you learn immediately in your organization\n\n  \n \n register now URL:https://graphwise.ai/event/microsoft-365-data-power-platform-seattle-2025/ LOCATION:Seattle Convention Center\, 900 Pine Street - Summit Building\, Seattle\, WA\, 98101-2350\, United States CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/05/TechCon365Seattle_2025_img1.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250623 DTEND;VALUE=DATE:20250625 DTSTAMP:20260526T200352 CREATED:20250618T140529Z LAST-MODIFIED:20250618T140936Z UID:239443-1750636800-1750809599@graphwise.ai SUMMARY:Knowledge Summit Dublin DESCRIPTION:Join a dynamic community of CKOs\, CIOs\, IT professionals\, knowledge managers\, content and records managers\, learning professionals\, researchers\, and educators—anyone passionate about building knowledge-centric organizations. \nAt Knowledge Summit Dublin\, you’ll hear from a world-class lineup of global experts sharing how to harness AI\, knowledge management\, and the human experience to drive smarter\, more connected organizations. \nSet in Dublin—a city rich in literary heritage and now a thriving digital and business hub—this summit offers the perfect backdrop for meaningful conversations\, collaboration\, and co-creation of new knowledge. \nExperience our innovative ‘flipped’ conference format\, designed to foster dialogue over decks. With fewer slides and more interaction\, we prioritize the exchange of tacit knowledge in an environment curated by practitioners\, for practitioners. \nExtend the learning beyond the main sessions with our after-hours knowledge exchange. Don’t miss the immersive ancient knowledge experience\, followed by insightful conversations in the same historic pubs once frequented by literary greats like Joyce\, Wilde\, Beckett\, and Yeats. \n \n register now URL:https://graphwise.ai/event/knowledge-summit-dublin-2025/ LOCATION:Trinity College Dublin\, College Green\, Dublin 2\, Ireland CATEGORIES:Event ATTACH;FMTTYPE=image/webp:https://graphwise.ai/wp-content/uploads/2025/06/Screenshot-2025-05-08-at-10.40.34.webp END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250610 DTEND;VALUE=DATE:20250614 DTSTAMP:20260526T200352 CREATED:20250424T122519Z LAST-MODIFIED:20250521T145510Z UID:167121-1749513600-1749859199@graphwise.ai SUMMARY:EVENT: Data Week Leipzig 2025 DESCRIPTION:Join us at Data Week Leipzig\, a premier networking event that delves into the multifaceted world of data from scientific\, economic\, and social angles. Engage in meaningful dialogues with leaders from government\, industry\, academia\, and business.\n\nWe invite you to Leipzig for a week brimming with enlightening sessions\, where the forefront of digital city innovations and artificial intelligence will be unveiled. With a special emphasis on climate and energy\, seize the chance to participate in hands-on training and workshops. A dedicated day on semantics and AI will reveal how these cutting-edge technologies are shaping a sustainable and resilient future.\n\nBe sure to stop by the Graphwise booth and connect with Márcia R. Ferreira\, Senior Data Engineer and Technical Consultant\, and Michael Sikic\, Senior Channel Marketing Manager!\n \n register now URL:https://graphwise.ai/event/data-week-leipzig-2025/ LOCATION:Leipzig Neues Rathaus/City Hall\, Martin-Luther-Ring 4-6\, Leipzig\, 04109\, Germany CATEGORIES:Event ATTACH;FMTTYPE=image/jpeg:https://graphwise.ai/wp-content/uploads/2025/04/241114_Twitter-Save-the-date_engl-1440x820-1.jpg ORGANIZER;CN="Eccenca":MAILTO:info@eccenca.com END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250521T160000 DTEND;TZID=Europe/Vienna:20250521T170000 DTSTAMP:20260526T200352 CREATED:20250425T162701Z LAST-MODIFIED:20260219T125010Z UID:167179-1747843200-1747846800@graphwise.ai SUMMARY:Streamline ESG Reporting with AI DESCRIPTION:On-Demand WEBINAR \n \n \n \n \n \n Streamline ESG Reporting with AI\n \n \n \n \n \n A Deep Dive into Recomentor by Graphwise \n \n \n \n \n \n \n \n \n \n May 21\, 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 Recomentor\, powered by Graphwise\, is a comprehensive\, AI-driven solution that brings clarity and efficiency to ESG (Environmental\, Social\, and Governance) reporting and compliance. By unifying multiple regulatory frameworks—such as CSRD\, GRI\, and more—into a single\, intuitive interface\, it enables organizations to quickly evaluate how their disclosures align with both legal requirements and industry benchmarks. \nRecomentor’s unique indicators—covering Coverage\, Specificity\, Ambition\, Risks\, and Opportunities—pinpoint precisely where improvements or deeper exploration may be needed. In parallel\, the platform integrates seamlessly with the ESG Knowledge Hub\, a low-hallucination chatbot (Knowledge-hub.eco) that provides transparent\, source-traceable ESG insights. \nThis powerful combination supports a wide range of stakeholders\, including sustainability teams\, ESG consultants\, and financial institutions\, driving faster compliance checks\, richer peer benchmarking\, and more informed\, data-driven decisions. With Recomentor’s assistance\, users can meaningfully elevate their ESG reporting while navigating a rapidly evolving global regulatory landscape. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Discover these key takeways:\n \n \n \n \n \n \n \n \n \n Unified ESG Landscape: Simplifies working with multiple frameworks like CSRD and GRI under one roof. \n \n \n \n \n \n \n \n \n \n \n \n Advanced Indicators: Identifies gaps and opportunities via Coverage\, Specificity\, Ambition\, Risks\, and Opportunities metrics. \n \n \n \n \n \n \n \n \n \n \n \n AI-Powered Efficiency: Automates data analysis and reporting\, freeing resources for strategic ESG decision-making. \n \n \n \n \n \n \n \n \n \n \n \n Low-Hallucination Chatbot: Integrates with Knowledge-hub.eco for reliable\, traceable ESG insights and streamlined user support. \n \n \n \n \n \n \n \n \n \n \n \n Broad Applicability: Supports sustainability teams\, consultants\, and financial institutions aiming to foster compliance and innovation across diverse industries. \n \n \n \n \n \n \n \n \n \n \n \n And much more! \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Watch now to be among the first to learn about Recomentor by Graphwise! \n \n \n \n \n \n \n \n \n \n \n \n \n \n Watch the webinar\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n Speakers\n \n \n \n \n \n \n \n \n \n \n \n \n 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-streamline-esg-reporting-ai/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/04/Webinar-may-21-2025-streamline-esg-ai.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250514 DTEND;VALUE=DATE:20250516 DTSTAMP:20260526T200352 CREATED:20250424T120611Z LAST-MODIFIED:20250521T145851Z UID:167110-1747180800-1747353599@graphwise.ai SUMMARY:EVENT: Data Summit Boston 2025 DESCRIPTION:At Data Summit 2025\, you’ll discover groundbreaking strategies from the world’s top companies as they tackle the most pressing challenges in data management today. Whether you’re fascinated by the technical intricacies of cutting-edge technologies or keen on leveraging Big Data for business intelligence and analytics\, Data Summit 2025 is your gateway to innovation!\n\nThis event also features three exclusive colocated experiences. Dive into the AI & Machine Learning Summit for a 2-day deep dive into real-world AI applications\, overcoming common hurdles\, and mastering essential technologies.\n\nExpect to leave Data Summit 2025 with a network of new connections and allies\, along with actionable strategies to propel your business forward. Secure your spot now and join us in Boston this May for an opportunity that could redefine your career and organization!\n\nFor more information and to register for the event\, please visit Data Summit Boston 2025.\n \n register now URL:https://graphwise.ai/event/data-summit-boston-2025/ LOCATION:Hyatt Regency Boston\, One Avenue de Lafayette\, Boston\, MA\, 02111\, United States CATEGORIES:Event ATTACH;FMTTYPE=image/jpeg:https://graphwise.ai/wp-content/uploads/2025/04/DS25_OG-Website_1200x630_c1.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250514 DTEND;VALUE=DATE:20250516 DTSTAMP:20260526T200352 CREATED:20250321T141351Z LAST-MODIFIED:20250521T145931Z UID:165490-1747180800-1747353599@graphwise.ai SUMMARY:EVENT: World AI Technology Expo 2025 DESCRIPTION:Join us at the World AI Technology Expo\, taking place from May 14-15\, 2025\, in lavish Dubai\, UAE. Boasting to be the largest and most comprehensive AI Show & AI Conference globally\, offering an unparalleled platform for innovation and collaboration for businesses in the AI industry\, you won’t want to miss it! \nQuick Facts about the World AI Technology Expo: \n\nConnect directly with AI leaders from over 20 countries.\n50+ speakers from the world’s top AI companies.\nSession in industry-specific AI\, including healthcare\, finance\, and e-commerce. \nAn elaborate awards ceremony and gala evening highlighting over 10\,000 brands in AI and technology.\n\nMake sure to visit the Graphwise booth and connect with our on-site team\, including Andreas Blumauer\, SVP Growth\, and Andrew Frei\, Regional Sales Director Northern Europe & the Middle East. \nFor more information and to register for the event\, please visit World AI Technology Expo. \n \n register now URL:https://graphwise.ai/event/world-ai-technology-expo-2025/ LOCATION:Movenpick Grand Albustan Hotel Dubai\, 51st Street & - Casablanca St\, Dubai\, Al Garhoud\, United Arab Emirates CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/03/World-AI-Tech-Expo-Dubai-2025-Feature-Image-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250513T000000 DTEND;TZID=Europe/Vienna:20250513T124500 DTSTAMP:20260526T200352 CREATED:20250501T100001Z LAST-MODIFIED:20250612T123456Z UID:167627-1747094400-1747140300@graphwise.ai SUMMARY:2nd SM4RT-PIN Deep Dive DESCRIPTION:In 2023\, two projects were funded under the DIGITAL-2022-CLOUD-AI-03-DS-MANUF call for Data space for manufacturing (deployment) : SM4RTENANCE and UNDERPIN. As part of both projects’ strategy for knowledge transfer and open collaborative innovation\, both projects have agreed to involve in some frequent SM4RT-UNDERPIN Deep Dive online events to expand the European and International knowledge of Manufacturing-related data spaces technologies\, components and deployments. \nConsequently\, you are kindly invited to join us again into these SM4RT-UNDERPIN Deep Dives\, brief online workshops dedicated to exploring the business and technical applications of Data Spaces in the manufacturing industry\, as part of the green\, circular and digital transformation of the European manufacturing industry. \nIn this 2nd SM4RT-UNDERPIN Deep Dive\, Peter Ivanov and Vladimir Alexiev from Graphwise.ai will present their deep dive on Semantic Metadata Interoperability (SMI) for data discovery & analytics in UNDERPIN Data Spaces. \nThis Deep Dive will start with a welcome and introduction session from Innovalia Association about the common knowledge transfer strategy of SM4RTENANCE and UNDERPIN projects and how these deep dives will contribute to expanding data spaces knowledge. Afterwards\, there will be a brief introductory session of the UNDERPIN project and its predictive maintenance use-cases on refinery and wind farms\, followed by key added value information about the UNDERPIN data space and the integration of Semantic Metadata Interoperability (SMI) for data discovery & analytics\, followed by an open debate with space for Questions and Answers. \nAGENDA\n\n\n\n\n12:00\nWelcome & IntroductionKatia Lavin\, Innovalia Association\n\n\n12:10\nSemantic Metadata Interoperability (SMI) for data discovery & analyticfs in UNDERPIN Data SpacesPeter Ivanov & Vladimir Alexiev\, Graphwise.ai\n\n\n12:35\nOpen Discussion and Q&AKatia Lavin\, Innovalia Associationr\n\n\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n Download Slides\n \n \n \n \n \n \n \n Watch Recording URL:https://graphwise.ai/event/2nd-sm4rt-pin-deep-dive/ LOCATION:Online CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/05/DD2-Semantic-1.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250512 DTEND;VALUE=DATE:20250515 DTSTAMP:20260526T200352 CREATED:20250424T114553Z LAST-MODIFIED:20250521T150016Z UID:167093-1747008000-1747267199@graphwise.ai SUMMARY:EVENT: Gartner Data & Analytics Summit 2025 (EMEA) DESCRIPTION:Join us at the Gartner Data & Analytics Summit\, taking place from May 12 – 14\, 2025\, in London\, EK. 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_analystics_summit_2025_emea/ LOCATION:ExCeL London\, Royal Victoria Dock\, 1 Western Gateway London\, London\, E16 1XL\, United Kingdom CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/04/Event_Featured_IMG_1600_900_GartnerEMEA_London_May2025.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Vienna:20250507T180000 DTEND;TZID=Europe/Vienna:20250507T193000 DTSTAMP:20260526T200352 CREATED:20250417T154730Z LAST-MODIFIED:20260219T125430Z UID:166911-1746640800-1746646200@graphwise.ai SUMMARY:Graph Center of Excellence: Revolutionize your Enterprise Data Management with Graph Technology DESCRIPTION:ON-DEMAND WEBINAR\n \n \n \n \n \n Graph Center of Excellence\n \n \n \n \n \n Revolutionize your Enterprise Data Management with Graph Technology\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\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 Watch the Graph Center of Excellence Revolution! \nAs we stand on the brink of the AI revolution\, many organizations find themselves entangled in the complexities of disparate\, isolated data systems. Challenges like data governance\, trust issues\, and poor data quality are just a few of the hurdles stalling the progress of enterprise AI initiatives. \nEnter graph technologies—your essential ally in crafting data-driven strategies for the AI era. These innovative approaches streamline and elevate data management\, offering substantial cost reductions while significantly enhancing your ability to derive valuable insights and integrate them seamlessly into your business operations. \nThis session underscores the imperative for organizations to develop robust graph technology capabilities\, simplifying and refining data integration and governance across fragmented data landscapes. Discover how these cutting-edge technologies unlock a spectrum of enhanced data outcomes\, paving the way for groundbreaking advancements in data analytics and automation that were once out of reach. \nJoin us to delve into the strategic adoption of graph technologies within your enterprise. We’ll guide you through establishing a Graph Center of Excellence (CoE)\, emphasizing its critical role\, practical applications\, starting points\, governance needs\, and best practices for a triumphant implementation. \nYou’ll uncover the foundational elements of the Graph CoE\, including: \n\nKey Elements of the Graph CoE\nStrategic Graph Deployment\nReal Life Use Cases\n\nMoreover\, you’ll gain these invaluable insights on: \n\nWhy Organizations Need to Change Their Data Management Paradigm\nThe “Bad Data Tax” Organizations are repeatedly paying with low payoff\nThe Solution to the Data Dilemma\n\nWatch now to learn how establishing a Graph Center of Excellence can revolutionize your enterprise. \n \n \n \n \n \n \n \n \n \n \n \n \n \n \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/graph-coe-revoltionize-enterprise-data-management-graph-technology/ CATEGORIES:On-demand Webinar ATTACH;FMTTYPE=image/jpeg:https://graphwise.ai/wp-content/uploads/2025/04/webinar-3626201_1920-500x281-1.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250506 DTEND;VALUE=DATE:20250509 DTSTAMP:20260526T200353 CREATED:20250422T161655Z LAST-MODIFIED:20250521T150036Z UID:167019-1746489600-1746748799@graphwise.ai SUMMARY:EVENT: Microsoft 365 Community Conference DESCRIPTION:Join us at the world’s largest in-person Microsoft 365 event returns to Las Vegas! Join thousands of professionals for 200+ sessions\, hands-on workshops\, and three major Microsoft keynotes. Meet 150+ Microsoft engineers\, get the latest on Copilot\, Teams\, SharePoint\, and AI-powered workplace innovations\, and enjoy unique networking opportunities. \nQuick Facts about the conference: \n\nOver 200 sessions\, workshops\, and keynotes\nAttendees can meet and learn directly product leaders\, gaining first-hand knowledge and guidance on Microsoft 365 tools\nUnique networking opportunities abound\, from community lounge meetups and table topic discussions to hands-on workshops and an attendee party\n\nMake sure to visit the Graphwise for M365 booth and connect with our on-site team\, including Rick Crane\, SVP Revenue\, and Martin Trajkov\, Director Partner Sales USA . \nFor more information and to register for the event\, please visit Microsoft 365 Community Conference. \n  URL:https://graphwise.ai/event/event-microsoft-365-community-conference/ LOCATION:MGM GRAND\, 3799 S. Las Vegas Blvd.\, Las Vegas\, NV\, United States CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/04/M365-Exhibitor-GRAPHWISE_2025-04-15.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250506 DTEND;VALUE=DATE:20250509 DTSTAMP:20260526T200353 CREATED:20250321T133455Z LAST-MODIFIED:20251021T073951Z UID:165473-1746489600-1746748799@graphwise.ai SUMMARY:EVENT: LEARNTEC 2025 DESCRIPTION:Join us at LEARNTEC 2025\, taking place from May 6-8\, 2025\, in quite fine Karlsruhe\, Germany. It is the industry meeting place for anyone who is interested in the latest trends in digital learning. Here\, you can find a unique network of partners\, experts\, multipliers and media partners – the ideal place to forge new contacts. \nDon’t miss Graphwise’s own Helmut Nagy\, VP Sales Enablement\, as he co-presents “Intelligent service chatbot based on microtraining content\, knowledge graphs with competence models and generative AI” with Harald Stadlbauer\, CEO at NINEFEB\, on May 6th\, 2025 from 11:30 – 12:45 CEST. \nFor more information and to register for the event\, please visit LEARNTEC 2025. \n \n register now URL:https://graphwise.ai/event/learntec-2025-karlsruhe/ LOCATION:Karlsruhe Trade Fair Centre\, Messeallee 1\, Rheinstetten\, 76287\, Germany CATEGORIES:Event ATTACH;FMTTYPE=image/jpeg:https://graphwise.ai/wp-content/uploads/2025/03/Learntec-2025-feat-img.jpg END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250505 DTEND;VALUE=DATE:20250510 DTSTAMP:20260526T200353 CREATED:20250321T130957Z LAST-MODIFIED:20250521T150102Z UID:165454-1746403200-1746835199@graphwise.ai SUMMARY:EVENT: Data Governance & Information Quality (DGIQ) + Enterprise Data World (EDW) Conference 2025 DESCRIPTION:Join us at the Data Governance & Information Quality (DGIQ) + Enterprise Data World (EDW) Conference\, taking place from May 5-9\, 2025\, in sunny Anaheim\, CA. The DGIQ + EDW 2025 is set to be the most comprehensive conference in data management\, governance\, and information quality. \nQuick Facts about the DGIQ + EDW 2025: \n\n18 in-depth Tutorials and 9 Seminars/Workshops\n60+ Conference Sessions and Case Studies\n110+ thought leaders and experts in their fields\nNew tips\, strategies\, and solutions to use in your own DG Program\nLasting connections and a community that understands you!\n\nDon’t miss your chance to experience this unparalleled event and visit our Graphwise booth to connect with our on-site team\, including Martin Kaltenboeck\, Co-Founder and SVP of Customer Success\, Daniel Galler\, Strategic Vertical Director – IT and Consulting\, and Lewis Guess\, Regional Sales Director – West. \nFor more information and to register for the event\, please visit DGIQ + EDW 2025. \n \n register now URL:https://graphwise.ai/event/dgiq-and-edw-conference-2025/ LOCATION:The Westin Anaheim Resort\, 1030 W Katella Ave\, Anaheim\, CA\, United States CATEGORIES:Event ATTACH;FMTTYPE=image/png:https://graphwise.ai/wp-content/uploads/2025/03/DGIQ_EDW_MeetUs_featimg_2025.png END:VEVENT BEGIN:VEVENT DTSTART;VALUE=DATE:20250505 DTEND;VALUE=DATE:20250510 DTSTAMP:20260526T200353 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:20260526T200353 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:20260526T200353 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:20260526T200353 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:20260526T200353 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:20260526T200353 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:20260526T200353 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:20260526T200353 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:20260526T200353 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:20260526T200353 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:20260526T200353 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:20260526T200353 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