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BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251105T163000
DTEND;TZID=Europe/Vienna:20251105T173000
DTSTAMP:20260218T133858Z
CREATED:20250930T134657Z
LAST-MODIFIED:20260218T133858Z
UID:242463-1762360200-1762363800@gws-sso-test.graphwise.ai
SUMMARY:Talk to Your Graph
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Talk to Your Graph\n			\n				\n				\n				\n				\n				See how leading organizations are using Talk to Your Graph \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						November 5\, 2025 \n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 7:30 a.m. – 8:30 a.m. PST New York | 10:30 a.m. – 11:30 a.m. EST Vienna | 4:30 p.m. – 5:30 p.m. CET \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Watch a technical showcase of how leading organizations are using Talk to Your Graph (TTYG) to enable natural language interaction with complex\, graph-based data. \nModerated by Andreas Blumauer\, this session features real-world implementations from five companies working with diverse datasets and graph architectures. The focus will be on practical insights\, architectural choices\, and the evolving role of conversational interfaces in enterprise knowledge systems. \nIdeal for data engineers\, knowledge graph architects\, and technical leads exploring applied semantics\, NLP\, and graph technology. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch now to be among the first to learn about Talk to Your Graph use cases! \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch Now\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                AI Engineering Lead at Graphwise                                                                                                                                      \n                                                                                                                                            \n                                                                                                                                                    Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production.
URL:https://gws-sso-test.graphwise.ai/event/webinar-talk-to-your-graph/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/09/Talk-to-your-Graph-featured-image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251105T163000
DTEND;TZID=Europe/Vienna:20251105T173000
DTSTAMP:20250930T134657Z
CREATED:20250930T134657Z
LAST-MODIFIED:20250930T134657Z
UID:252340-1762360200-1762363800@gws-sso-test.graphwise.ai
SUMMARY:Talk to Your Graph
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Talk to Your Graph\n			\n				\n				\n				\n				\n				See how leading organizations are using Talk to Your Graph \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						November 5\, 2025 \n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 7:30 a.m. – 8:30 a.m. PST New York | 10:30 a.m. – 11:30 a.m. EST Vienna | 4:30 p.m. – 5:30 p.m. CET \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Watch a technical showcase of how leading organizations are using Talk to Your Graph (TTYG) to enable natural language interaction with complex\, graph-based data. \nModerated by Andreas Blumauer\, this session features real-world implementations from five companies working with diverse datasets and graph architectures. The focus will be on practical insights\, architectural choices\, and the evolving role of conversational interfaces in enterprise knowledge systems. \nIdeal for data engineers\, knowledge graph architects\, and technical leads exploring applied semantics\, NLP\, and graph technology. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch now to be among the first to learn about Talk to Your Graph use cases! \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch Now\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                AI Engineering Lead at Graphwise                                                                                                                                      \n                                                                                                                                            \n                                                                                                                                                    Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production.
URL:https://gws-sso-test.graphwise.ai/event/webinar-talk-to-your-graph-2/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/09/Talk-to-your-Graph-featured-image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251103T000000
DTEND;TZID=Europe/Vienna:20251107T235959
DTSTAMP:20250822T103131Z
CREATED:20250822T103131Z
LAST-MODIFIED:20250822T103131Z
UID:252312-1762128000-1762559999@gws-sso-test.graphwise.ai
SUMMARY:TechCon365: MICROSOFT 365\, POWER PLATFORM & COPILOT CONFERENCE
DESCRIPTION:Join us at TechCon 365: MICROSOFT 365\, POWER PLATFORM & COPILOT CONFERENCE in Dallas\, TX! \nThis is the premier in-person conference focused on Microsoft 365\, Power Platform\, Azure\, Copilot\, and AI technologies. The 2025 edition is scheduled for November 3–7\, 2025\, hosted at the Irving Convention Center in Irving\, Texas. \nAttendees can access over 130 sessions across multiple tracks and 25 workshops tailored to varying experience levels—from beginners to advanced professionals.  \nThemes of the conference include:  \n\nMicrosoft 365 & Copilot adoption\, governance\, and deployment\nPower Platform & automation workflows (Power Apps\, Power Automate\, Power BI)\nSharePoint & content/information architecture\nAI & Azure development including Copilot Studio\, Azure OpenAI\, custom agents\nBroader tools: Viva\, Microsoft Fabric\, Dataverse\, Syntex\, OneDrive\, Teams\, Loop\, Search\, and more!\n\nThe success of the 2024 event sets a strong precedent for 2025\, with a robust agenda\, expert speakers\, and rich opportunities to connect and grow. \nWe look forward to connecting with you at our booth! \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/techcon365-dallas-2025-2/
LOCATION:Irving Convention Center\, 500 W. Las Colinas Blvd\, Irving\, TX\, 75039\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/techcon365_dallas_2025.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251103
DTEND;VALUE=DATE:20251108
DTSTAMP:20260617T132320Z
CREATED:20250822T103131Z
LAST-MODIFIED:20260617T132320Z
UID:241272-1762128000-1762559999@gws-sso-test.graphwise.ai
SUMMARY:TechCon365: MICROSOFT 365\, POWER PLATFORM & COPILOT CONFERENCE
DESCRIPTION:Join us at TechCon 365: MICROSOFT 365\, POWER PLATFORM & COPILOT CONFERENCE in Dallas\, TX! \nThis is the premier in-person conference focused on Microsoft 365\, Power Platform\, Azure\, Copilot\, and AI technologies. The 2025 edition is scheduled for November 3–7\, 2025\, hosted at the Irving Convention Center in Irving\, Texas. \nAttendees can access over 130 sessions across multiple tracks and 25 workshops tailored to varying experience levels—from beginners to advanced professionals.  \nThemes of the conference include:  \n\nMicrosoft 365 & Copilot adoption\, governance\, and deployment\nPower Platform & automation workflows (Power Apps\, Power Automate\, Power BI)\nSharePoint & content/information architecture\nAI & Azure development including Copilot Studio\, Azure OpenAI\, custom agents\nBroader tools: Viva\, Microsoft Fabric\, Dataverse\, Syntex\, OneDrive\, Teams\, Loop\, Search\, and more!\n\nThe success of the 2024 event sets a strong precedent for 2025\, with a robust agenda\, expert speakers\, and rich opportunities to connect and grow. \nWe look forward to connecting with you at our booth! \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/techcon365-dallas-2025/
LOCATION:Irving Convention Center\, 500 W. Las Colinas Blvd\, Irving\, TX\, 75039\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/techcon365_dallas_2025.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251022T000000
DTEND;TZID=Europe/Vienna:20251023T235959
DTSTAMP:20250708T135637Z
CREATED:20250708T135637Z
LAST-MODIFIED:20250708T135637Z
UID:252286-1761091200-1761263999@gws-sso-test.graphwise.ai
SUMMARY:Graphwise AI Summit 2025
DESCRIPTION:ONline conference \n			\n				\n				\n				\n				\n				Graphwise AI Summit 2025\n			\n				\n				\n				\n				\n				Unlocking Intelligent Applications & Business Impact with Trustworthy AI & Knowledge Graphs \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						October 22nd – 23rd\, 2025 \n					\n				\n			\n				"Watch\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Navigating AI’s Landscape: Agentic AI\, GenAI\, RAG & more\n			\n				\n				\n				\n				\n				One year after the strategic merger combining GraphDB and PoolParty technologies\, Graphwise comes for a two-day online event packed with virtual talks\, panels\, and demos with industry leaders\, partners and innovators.\nExplore the strategic impact of semantic technologies and knowledge graphs on cutting-edge AI\, diving into real-world use-cases in Financial Services\, Healthcare & Life Sciences\, and beyond. \n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n				"Expert\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n				"global\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n				"strategic\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Learn how to build a GraphRAG solution in a couple of steps and make use of our Graphwise AI Graph Suite latest features \n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Tailor Your Summit Experience\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Strategic AI Solutions\n						Wednesday\, 22nd October\nFor AI strategists & decision-makers to explore how to leverage Graphwise for business growth and innovation. \nWhat you will see: \n\nStrategic insights on cutting-edge AI & KGs\nReal-world use cases & industry pain points\nSuccess stories across industries & proven ROI\n\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Technical Deep Dive\n						Thursday\, 23rd October\nFor hands-on innovators & technical professionals to dive into Graphwise platform’s advanced capabilities. \nWhat you will see: \n\nGraphwise platform\, integrations and portfolio\nDeep dives into core technologies & new features\nPractical tips for developers on how to best use our platform
URL:https://gws-sso-test.graphwise.ai/event/graphwise-ai-summit-2025-2/
LOCATION:Online
CATEGORIES:Online Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/07/AI-Summit-2025-fea-Img.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251022
DTEND;VALUE=DATE:20251024
DTSTAMP:20260226T150958Z
CREATED:20250708T135637Z
LAST-MODIFIED:20260226T150958Z
UID:239801-1761091200-1761263999@gws-sso-test.graphwise.ai
SUMMARY:Graphwise AI Summit 2025
DESCRIPTION:ONline conference \n			\n				\n				\n				\n				\n				Graphwise AI Summit 2025\n			\n				\n				\n				\n				\n				Unlocking Intelligent Applications & Business Impact with Trustworthy AI & Knowledge Graphs \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						October 22nd – 23rd\, 2025 \n					\n				\n			\n				Watch on demand\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Navigating AI’s Landscape: Agentic AI\, GenAI\, RAG & more\n			\n				\n				\n				\n				\n				One year after the strategic merger combining GraphDB and PoolParty technologies\, Graphwise comes for a two-day online event packed with virtual talks\, panels\, and demos with industry leaders\, partners and innovators.\nExplore the strategic impact of semantic technologies and knowledge graphs on cutting-edge AI\, diving into real-world use-cases in Financial Services\, Healthcare & Life Sciences\, and beyond. \n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n				Expert speakers\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n				global attendees\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				 \n				strategic insights\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Learn how to build a GraphRAG solution in a couple of steps and make use of our Graphwise AI Graph Suite latest features \n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Tailor Your Summit Experience\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Strategic AI Solutions\n						Wednesday\, 22nd October\nFor AI strategists & decision-makers to explore how to leverage Graphwise for business growth and innovation. \nWhat you will see: \n\nStrategic insights on cutting-edge AI & KGs\nReal-world use cases & industry pain points\nSuccess stories across industries & proven ROI\n\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Technical Deep Dive\n						Thursday\, 23rd October\nFor hands-on innovators & technical professionals to dive into Graphwise platform’s advanced capabilities. \nWhat you will see: \n\nGraphwise platform\, integrations and portfolio\nDeep dives into core technologies & new features\nPractical tips for developers on how to best use our platform
URL:https://gws-sso-test.graphwise.ai/event/graphwise-ai-summit-2025/
LOCATION:Online
CATEGORIES:Online Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/07/AI-Summit-2025-fea-Img.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251006T000000
DTEND;TZID=Europe/Vienna:20251008T235959
DTSTAMP:20250813T164440Z
CREATED:20250813T164440Z
LAST-MODIFIED:20250813T164440Z
UID:252310-1759708800-1759967999@gws-sso-test.graphwise.ai
SUMMARY:BioTechX Europe 2025
DESCRIPTION:BioTechX Europe 2025 (6–8 October) is Europe’s largest biotech congress\, held at Messe Basel\, Switzerland. Expect over 3\,000 attendees\, 400+ speakers\, 150+ exhibitors\, and 50 cutting-edge start-ups tackling diagnostics\, precision medicine\, AI\, and digital transformation across pharma and healthcare. \nThe event blends forward-looking conference sessions with a bustling exhibition floor and extensive networking opportunities. Topics span from AI in drug development and real-world evidence to genomics\, single-cell analysis\, FAIR data\, and cheminformatics—making it a prime destination for industry professionals seeking innovation and collaboration. \n			\n				\n				\n				\n				\n				\nTalk: October 7\nIlian Uzunov and Todor Primov’s talk\, Beyond the Limits of GenAI\, will explore how semantic technology and graph-based AI help life sciences organizations: \n\nBreak down data silos and advance FAIR data practices\nUnlock hidden relationships in data\nBuild scalable and trustworthy AI applications\n\n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/biotechx-europe-2025-2/
LOCATION:Messe Basel
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/BioTechX_Europe_2025_1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251006
DTEND;VALUE=DATE:20251009
DTSTAMP:20251003T075938Z
CREATED:20250813T164440Z
LAST-MODIFIED:20251003T075938Z
UID:241031-1759708800-1759967999@gws-sso-test.graphwise.ai
SUMMARY:BioTechX Europe 2025
DESCRIPTION:BioTechX Europe 2025 (6–8 October) is Europe’s largest biotech congress\, held at Messe Basel\, Switzerland. Expect over 3\,000 attendees\, 400+ speakers\, 150+ exhibitors\, and 50 cutting-edge start-ups tackling diagnostics\, precision medicine\, AI\, and digital transformation across pharma and healthcare. \nThe event blends forward-looking conference sessions with a bustling exhibition floor and extensive networking opportunities. Topics span from AI in drug development and real-world evidence to genomics\, single-cell analysis\, FAIR data\, and cheminformatics—making it a prime destination for industry professionals seeking innovation and collaboration. \n			\n				\n				\n				\n				\n				\nTalk: October 7\nIlian Uzunov and Todor Primov’s talk\, Beyond the Limits of GenAI\, will explore how semantic technology and graph-based AI help life sciences organizations: \n\nBreak down data silos and advance FAIR data practices\nUnlock hidden relationships in data\nBuild scalable and trustworthy AI applications\n\n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/biotechx-europe-2025/
LOCATION:Messe Basel
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/BioTechX_Europe_2025_1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251001T163000
DTEND;TZID=Europe/Vienna:20251001T173000
DTSTAMP:20260218T134236Z
CREATED:20250822T105346Z
LAST-MODIFIED:20260218T134236Z
UID:241289-1759336200-1759339800@gws-sso-test.graphwise.ai
SUMMARY:Maximizing Productivity with GraphRAG
DESCRIPTION:ON-DEMAND WEBINAR \n			\n				\n				\n				\n				\n				Maximizing Productivity with GraphRAG\n			\n				\n				\n				\n				\n				Five Use Cases of Retrieval Augmented Generation \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						October 1\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Bringing Confidence to AI \nAre you struggling to realize the full value of your AI initiatives\, facing challenges with data scalability\, user satisfaction\, or even compliance? This webinar will demonstrate how GraphRAG directly addresses these critical business problems and significantly improves AI performance by leveraging enterprise knowledge graphs and a robust semantic layer. \nJoin us for a highly practical session where we will debate five distinct industry use cases\, showcasing real-world applications and measurable outcomes: \n Global Manufacturing: See how GraphRAG provides precise\, quality-assured answers to complex technical questions about systems like hydraulics\, outperforming VectorRAG and pure LLMs in accuracy and enhancing support engineer efficiency. \n Research Organizations: Discover how GraphRAG built a functioning AI assistant for over multilingual policy documents\, exceeding a 95% correct answer rate and substantially enhancing retrieval accuracy. \n Pharmaceutical/Biopharmaceutical Companies: Learn how GraphRAG accelerates the process of bringing new molecules to market by structuring company-wide data into knowledge graphs\, enabling faster deployment of LLMs\, scalability to millions of records\, and automation of business processes like submissions to authorities. \n Software Vendors: Explore how GraphRAG improves self-service portals by preserving content structures and using domain-specific metadata for precise retrieval\, leading to answers that truly interpret user questions and minimize hallucinations. \n Big Four Consultancies: Understand how GraphRAG facilitates knowledge discovery across disconnected content silos\, leading to enhanced content accessibility\, improved collaboration efficiency\, and increased operational agility for internal stakeholders. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				This webinar will reveal how GraphRAG solutions drive tangible benefits and key performance indicators (KPIs) across your organization::\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						AI Accuracy & Reliability: Boost model accuracy to 90–100% and reduce hallucinations using a GraphRAG model grounded in real-world data. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Efficiency & Cost: Cut manual tagging by 60%\, speed up search by 40%\, and reduce duplicate work by 50%\, while lowering RAG costs and LLM usage. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Productivity & Speed: Save 30+ minutes per query\, increase project efficiency by 30%\, and reduce time-to-market by 40%. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Innovation & Growth: Improve access to information and collaboration\, enabling faster decisions and supporting 25% revenue growth. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Compliance & Governance: Automatically map content to regulations\, flag risks\, and ensure auditability with consistent metadata. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						And much more! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch now to learn how GraphRAG transforms disparate data into an “AI-ready data layer” through a multimodal data fabric and a semantic layer\, ensuring comprehensive data utilization and bringing true confidence to your AI initiatives. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                AI Engineering Lead at Graphwise                                                                                                                                      \n                                                                                                                                            \n                                                                                                                                                    Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production.
URL:https://gws-sso-test.graphwise.ai/event/maximizing-productivity-with-graphrag/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/October-1-2025-featured-image-web.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251001T163000
DTEND;TZID=Europe/Vienna:20251001T173000
DTSTAMP:20250822T105346Z
CREATED:20250822T105346Z
LAST-MODIFIED:20250822T105346Z
UID:252339-1759336200-1759339800@gws-sso-test.graphwise.ai
SUMMARY:Maximizing Productivity with GraphRAG
DESCRIPTION:ON-DEMAND WEBINAR \n			\n				\n				\n				\n				\n				Maximizing Productivity with GraphRAG\n			\n				\n				\n				\n				\n				Five Use Cases of Retrieval Augmented Generation \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						October 1\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Bringing Confidence to AI \nAre you struggling to realize the full value of your AI initiatives\, facing challenges with data scalability\, user satisfaction\, or even compliance? This webinar will demonstrate how GraphRAG directly addresses these critical business problems and significantly improves AI performance by leveraging enterprise knowledge graphs and a robust semantic layer. \nJoin us for a highly practical session where we will debate five distinct industry use cases\, showcasing real-world applications and measurable outcomes: \n Global Manufacturing: See how GraphRAG provides precise\, quality-assured answers to complex technical questions about systems like hydraulics\, outperforming VectorRAG and pure LLMs in accuracy and enhancing support engineer efficiency. \n Research Organizations: Discover how GraphRAG built a functioning AI assistant for over multilingual policy documents\, exceeding a 95% correct answer rate and substantially enhancing retrieval accuracy. \n Pharmaceutical/Biopharmaceutical Companies: Learn how GraphRAG accelerates the process of bringing new molecules to market by structuring company-wide data into knowledge graphs\, enabling faster deployment of LLMs\, scalability to millions of records\, and automation of business processes like submissions to authorities. \n Software Vendors: Explore how GraphRAG improves self-service portals by preserving content structures and using domain-specific metadata for precise retrieval\, leading to answers that truly interpret user questions and minimize hallucinations. \n Big Four Consultancies: Understand how GraphRAG facilitates knowledge discovery across disconnected content silos\, leading to enhanced content accessibility\, improved collaboration efficiency\, and increased operational agility for internal stakeholders. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				This webinar will reveal how GraphRAG solutions drive tangible benefits and key performance indicators (KPIs) across your organization::\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						AI Accuracy & Reliability: Boost model accuracy to 90–100% and reduce hallucinations using a GraphRAG model grounded in real-world data. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Efficiency & Cost: Cut manual tagging by 60%\, speed up search by 40%\, and reduce duplicate work by 50%\, while lowering RAG costs and LLM usage. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Productivity & Speed: Save 30+ minutes per query\, increase project efficiency by 30%\, and reduce time-to-market by 40%. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Innovation & Growth: Improve access to information and collaboration\, enabling faster decisions and supporting 25% revenue growth. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Compliance & Governance: Automatically map content to regulations\, flag risks\, and ensure auditability with consistent metadata. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						And much more! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch now to learn how GraphRAG transforms disparate data into an “AI-ready data layer” through a multimodal data fabric and a semantic layer\, ensuring comprehensive data utilization and bringing true confidence to your AI initiatives. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                AI Engineering Lead at Graphwise                                                                                                                                      \n                                                                                                                                            \n                                                                                                                                                    Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production.
URL:https://gws-sso-test.graphwise.ai/event/maximizing-productivity-with-graphrag-2/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/October-1-2025-featured-image-web.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251001T000000
DTEND;TZID=Europe/Vienna:20251002T235959
DTSTAMP:20250618T145737Z
CREATED:20250618T145737Z
LAST-MODIFIED:20250618T145737Z
UID:252305-1759276800-1759449599@gws-sso-test.graphwise.ai
SUMMARY:Big Data & AI Paris
DESCRIPTION:The Origins of BIG DATA & AI PARISThe rapid development of Big Data in France\, fueled by the growth of Cloud Computing and the opening of public data\, created a clear need for structure and collaboration within the emerging ecosystem. It was in this context that Big Data Paris was launched—bringing together experts\, decision-makers\, and innovators from across the sector. \nA few years later\, with the rise of deep learning and the launch of France’s national AI strategy in 2018\, Artificial Intelligence took center stage. To meet this momentum and support the practical application of AI technologies\, AI Paris was born. \nToday\, Big Data and AI are inseparable. AI relies on data to learn\, and Big Data finds its full value through the intelligent systems that interpret it. To reflect this deep interconnection and help professionals seamlessly explore both domains\, Big Data Paris and AI Paris have united into a single strategic event:🎉 BIG DATA & AI PARIS. \nWhether you want to navigate both fields or dive deeper into one\, BIG DATA & AI PARIS is the ultimate meeting point for those shaping the future of data and intelligent technology. \nWe look forward to meeting you in Paris – register now! \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/big-data-and-ai-paris-2025-2/
LOCATION:Paris Expo Porte de Versailles\, 1 Pl. de la Porte de Versailles\, Paris\, 75015\, France
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/Big-Data-AI-Paris-2025.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251001
DTEND;VALUE=DATE:20251003
DTSTAMP:20250923T092804Z
CREATED:20250618T145737Z
LAST-MODIFIED:20250923T092804Z
UID:239468-1759276800-1759449599@gws-sso-test.graphwise.ai
SUMMARY:Big Data & AI Paris
DESCRIPTION:The Origins of BIG DATA & AI PARISThe rapid development of Big Data in France\, fueled by the growth of Cloud Computing and the opening of public data\, created a clear need for structure and collaboration within the emerging ecosystem. It was in this context that Big Data Paris was launched—bringing together experts\, decision-makers\, and innovators from across the sector. \nA few years later\, with the rise of deep learning and the launch of France’s national AI strategy in 2018\, Artificial Intelligence took center stage. To meet this momentum and support the practical application of AI technologies\, AI Paris was born. \nToday\, Big Data and AI are inseparable. AI relies on data to learn\, and Big Data finds its full value through the intelligent systems that interpret it. To reflect this deep interconnection and help professionals seamlessly explore both domains\, Big Data Paris and AI Paris have united into a single strategic event:🎉 BIG DATA & AI PARIS. \nWhether you want to navigate both fields or dive deeper into one\, BIG DATA & AI PARIS is the ultimate meeting point for those shaping the future of data and intelligent technology. \nWe look forward to meeting you in Paris – register now! \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/big-data-and-ai-paris-2025/
LOCATION:Paris Expo Porte de Versailles\, 1 Pl. de la Porte de Versailles\, Paris\, 75015\, France
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/Big-Data-AI-Paris-2025.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20251001
DTEND;VALUE=DATE:20251002
DTSTAMP:20250813T162827Z
CREATED:20250813T162825Z
LAST-MODIFIED:20250813T162827Z
UID:241020-1759276800-1759363199@gws-sso-test.graphwise.ai
SUMMARY:Semantic Layer Symposium 2025
DESCRIPTION:Semantic Layer Symposium 2025 is the premier in-person forum for professionals exploring the power of semantic technologies in transforming data into meaningful business intelligence. Held on Wednesday\, October 1\, 2025\, at the luxurious Nimb Hotel in Copenhagen\, this one-day event (with an optional pre-conference workshop) brings together data leaders\, knowledge management professionals\, semantic specialists\, and academics to share real-world strategies and insights. \nAttendees will explore practical use cases\, networking opportunities\, and expert-led sessions focused on implementing semantic layers—from bridging data silos and shaping scalable infrastructure to delivering actionable\, context-rich insights in enterprise environments. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/semantic-layer-symposium-2025/
LOCATION:NIMB HOTEL\, Bernstorffsgade 5\, Copenhagen\, 1577\, Denmark
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/semanticlayersymposium2025.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20251001T000000
DTEND;TZID=Europe/Vienna:20251001T235959
DTSTAMP:20250813T162825Z
CREATED:20250813T162825Z
LAST-MODIFIED:20250813T162825Z
UID:252309-1759276800-1759363199@gws-sso-test.graphwise.ai
SUMMARY:Semantic Layer Symposium 2025
DESCRIPTION:Semantic Layer Symposium 2025 is the premier in-person forum for professionals exploring the power of semantic technologies in transforming data into meaningful business intelligence. Held on Wednesday\, October 1\, 2025\, at the luxurious Nimb Hotel in Copenhagen\, this one-day event (with an optional pre-conference workshop) brings together data leaders\, knowledge management professionals\, semantic specialists\, and academics to share real-world strategies and insights. \nAttendees will explore practical use cases\, networking opportunities\, and expert-led sessions focused on implementing semantic layers—from bridging data silos and shaping scalable infrastructure to delivering actionable\, context-rich insights in enterprise environments. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/semantic-layer-symposium-2025-2/
LOCATION:NIMB HOTEL\, Bernstorffsgade 5\, Copenhagen\, 1577\, Denmark
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/semanticlayersymposium2025.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250924T000000
DTEND;TZID=Europe/Vienna:20250925T235959
DTSTAMP:20250618T142746Z
CREATED:20250618T142746Z
LAST-MODIFIED:20250618T142746Z
UID:252304-1758672000-1758844799@gws-sso-test.graphwise.ai
SUMMARY:Nordic TechKomm 2025
DESCRIPTION:Join us in Copenhagen for NORDIC TechKomm\, where international experts in technical communication come together to explore the latest trends\, challenges\, and innovations in the field. \nThis year’s theme is “Level Up Your Technical Communication”—a call to action for professionals ready to take their skills and strategies to the next level. \nDesigned for those with an advanced understanding of technical communication\, NORDIC TechKomm brings together technical writers\, information developers\, content architects\, and TC managers to share insights\, best practices\, and cutting-edge solutions. \nWhether you’re looking to refine your content strategy\, explore new tools\, or connect with peers from across the industry\, NORDIC TechKomm offers the perfect platform for growth\, networking\, and inspiration. \n📍 Copenhagen awaits—don’t miss this opportunity to elevate your expertise and be part of the conversation shaping the future of technical communication. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/nordic-techkomm-copenhagen-2025-2/
LOCATION:Scandic Sydhavnen\, Sydhavns Plads 15\, Copenhagen SV\, 2450\, Denmark
CATEGORIES:Event
ATTACH;FMTTYPE=image/webp:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/NORDIC-TechKOMM-2025-conference.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250924
DTEND;VALUE=DATE:20250926
DTSTAMP:20250618T142747Z
CREATED:20250618T142746Z
LAST-MODIFIED:20250618T142747Z
UID:239455-1758672000-1758844799@gws-sso-test.graphwise.ai
SUMMARY:Nordic TechKomm 2025
DESCRIPTION:Join us in Copenhagen for NORDIC TechKomm\, where international experts in technical communication come together to explore the latest trends\, challenges\, and innovations in the field. \nThis year’s theme is “Level Up Your Technical Communication”—a call to action for professionals ready to take their skills and strategies to the next level. \nDesigned for those with an advanced understanding of technical communication\, NORDIC TechKomm brings together technical writers\, information developers\, content architects\, and TC managers to share insights\, best practices\, and cutting-edge solutions. \nWhether you’re looking to refine your content strategy\, explore new tools\, or connect with peers from across the industry\, NORDIC TechKomm offers the perfect platform for growth\, networking\, and inspiration. \n📍 Copenhagen awaits—don’t miss this opportunity to elevate your expertise and be part of the conversation shaping the future of technical communication. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/nordic-techkomm-copenhagen-2025/
LOCATION:Scandic Sydhavnen\, Sydhavns Plads 15\, Copenhagen SV\, 2450\, Denmark
CATEGORIES:Event
ATTACH;FMTTYPE=image/webp:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/NORDIC-TechKOMM-2025-conference.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250917T170000
DTEND;TZID=Europe/Vienna:20250917T180000
DTSTAMP:20260617T131253Z
CREATED:20250612T103516Z
LAST-MODIFIED:20260617T131253Z
UID:239318-1758128400-1758132000@gws-sso-test.graphwise.ai
SUMMARY:How Knowledge Managers can use Copilot agents to break down content silos in SharePoint
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				How Knowledge Managers can use Copilot agents to break down content silos in SharePoint\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						September 17\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \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				About our ‘How Knowledge Managers can use Copilot agents’ webinar\nAre you a Knowledge Manager struggling with information overload\, siloed SharePoint sites\, and the constant challenge of ensuring employees can quickly access accurate information? \nDiscover how to leverage Microsoft Copilot agents–enhanced with AI-powered taxonomy management and auto-tagging for SharePoint–to transform your organization’s knowledge landscape. \nWatch Graphwise\, developers of cutting-edge semantic AI software\, and Altuent\, a knowledge management consultancy for this webinar. We’ll provide practical insights on how to make Copilot agents more reliable\, increase traceability\, trust and efficiency. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Discover the unparalleled features of Graphwise for M365:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						A solution that prevents SharePoint being a siloed\, chaotic mess\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to add a semantic layer (with AI automations) to your unstructured content\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						We aim to give you practical insights on how to make Copilot agents in your KM process more reliable\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to unleash the power of Copilot agents to retrieve specific information from SharePoint\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                AI Engineering Lead at Graphwise                                                                                                                                      \n                                                                                                                                            \n                                                                                                                                                    Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production.
URL:https://gws-sso-test.graphwise.ai/event/how-knowledge-managers-can-use-copilot-agents-breakdown-silos-sharepoint/
LOCATION:Online
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/September-17-2025-copilot-agents-sharepoint-webinar-featured-image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250917T170000
DTEND;TZID=Europe/Vienna:20250917T180000
DTSTAMP:20250612T103516Z
CREATED:20250612T103516Z
LAST-MODIFIED:20250612T103516Z
UID:252355-1758128400-1758132000@gws-sso-test.graphwise.ai
SUMMARY:How Knowledge Managers can use Copilot agents to break down content silos in SharePoint
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				How Knowledge Managers can use Copilot agents to break down content silos in SharePoint\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						September 17\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \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				About our ‘How Knowledge Managers can use Copilot agents’ webinar\nAre you a Knowledge Manager struggling with information overload\, siloed SharePoint sites\, and the constant challenge of ensuring employees can quickly access accurate information? \nDiscover how to leverage Microsoft Copilot agents–enhanced with AI-powered taxonomy management and auto-tagging for SharePoint–to transform your organization’s knowledge landscape. \nWatch Graphwise\, developers of cutting-edge semantic AI software\, and Altuent\, a knowledge management consultancy for this webinar. We’ll provide practical insights on how to make Copilot agents more reliable\, increase traceability\, trust and efficiency. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Discover the unparalleled features of Graphwise for M365:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						A solution that prevents SharePoint being a siloed\, chaotic mess\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to add a semantic layer (with AI automations) to your unstructured content\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						We aim to give you practical insights on how to make Copilot agents in your KM process more reliable\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to unleash the power of Copilot agents to retrieve specific information from SharePoint\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                AI Engineering Lead at Graphwise                                                                                                                                      \n                                                                                                                                            \n                                                                                                                                                    Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production.
URL:https://gws-sso-test.graphwise.ai/event/how-knowledge-managers-can-use-copilot-agents-breakdown-silos-sharepoint-2/
LOCATION:Online
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/September-17-2025-copilot-agents-sharepoint-webinar-featured-image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250910T170000
DTEND;TZID=Europe/Vienna:20250910T170000
DTSTAMP:20250812T180947Z
CREATED:20250812T180947Z
LAST-MODIFIED:20250812T180947Z
UID:252338-1757523600-1757523600@gws-sso-test.graphwise.ai
SUMMARY:Introducing Graphwise Sandbox: Explore the Power of GraphDB in Minutes
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Introducing Graphwise Sandbox\n			\n				\n				\n				\n				\n				Explore the Power of GraphDB in Minutes \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						September 10\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Unlock the Power of Connected Data in Minutes  \nAre you curious about the power of GraphDB and knowledge graphs\, but unsure where to start? Graphwise Sandbox\, our newly launched self-service environment\, provides you with immediate\, hands-on access to GraphDB\, complete with curated datasets and interactive guidance—no setup required! \nIn this webinar\, you’ll learn about the capabilities included in Graphwise Sandbox\, from the ease of launching isolated demo environments to exploring data through natural language queries. We’ll showcase the initial set of demo projects\, including Ontotext’s Knowledge Graph\, European Railway Navigator\, Ontology Navigator with FIBO\, Star Wars Universe Explorer\, and the Semantic Movies Recommender. Discover how these real-world datasets and guided interactions allow users—from data enthusiasts to enterprise architects—to experience semantic technology in action. \nWe’ll cover key features such as tenant-level data isolation\, external tool connectivity\, and flexible sandbox lifespans\, along with clear insights into resource limitations\, including data volume constraints\, query concurrency\, and token usage. Lastly\, we’ll offer a glimpse into future enhancements\, revealing our plans to expand the Sandbox to additional Graphwise products and datasets. \nWatch this webinar and learn how you can instantly start exploring the value of GraphDB and semantic technologies through Graphwise Sandbox. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Key takeaways from this webinar include:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to quickly register and launch Graphwise Sandbox. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						The available demo projects and how they illustrate real-world graph use cases. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Technical capabilities and limitations of the Sandbox. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Best practices for maximizing your sandbox experience. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						What’s coming next from Graphwise! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Ready to explore GraphDB instantly? Watch this webinar and unlock the full potential of your data. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                AI Engineering Lead at Graphwise                                                                                                                                      \n                                                                                                                                            \n                                                                                                                                                    Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production.
URL:https://gws-sso-test.graphwise.ai/event/introducing-graphwise-sandbox-explore-the-power-of-graphdb-in-minutes-2/
LOCATION:Online
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/Sept-10-2025-featured-image-webinar.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250910T170000
DTEND;TZID=Europe/Vienna:20250910T170000
DTSTAMP:20260218T135012Z
CREATED:20250812T180947Z
LAST-MODIFIED:20260218T135012Z
UID:241003-1757523600-1757523600@gws-sso-test.graphwise.ai
SUMMARY:Introducing Graphwise Sandbox: Explore the Power of GraphDB in Minutes
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Introducing Graphwise Sandbox\n			\n				\n				\n				\n				\n				Explore the Power of GraphDB in Minutes \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						September 10\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Unlock the Power of Connected Data in Minutes  \nAre you curious about the power of GraphDB and knowledge graphs\, but unsure where to start? Graphwise Sandbox\, our newly launched self-service environment\, provides you with immediate\, hands-on access to GraphDB\, complete with curated datasets and interactive guidance—no setup required! \nIn this webinar\, you’ll learn about the capabilities included in Graphwise Sandbox\, from the ease of launching isolated demo environments to exploring data through natural language queries. We’ll showcase the initial set of demo projects\, including Ontotext’s Knowledge Graph\, European Railway Navigator\, Ontology Navigator with FIBO\, Star Wars Universe Explorer\, and the Semantic Movies Recommender. Discover how these real-world datasets and guided interactions allow users—from data enthusiasts to enterprise architects—to experience semantic technology in action. \nWe’ll cover key features such as tenant-level data isolation\, external tool connectivity\, and flexible sandbox lifespans\, along with clear insights into resource limitations\, including data volume constraints\, query concurrency\, and token usage. Lastly\, we’ll offer a glimpse into future enhancements\, revealing our plans to expand the Sandbox to additional Graphwise products and datasets. \nWatch this webinar and learn how you can instantly start exploring the value of GraphDB and semantic technologies through Graphwise Sandbox. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Key takeaways from this webinar include:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How to quickly register and launch Graphwise Sandbox. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						The available demo projects and how they illustrate real-world graph use cases. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Technical capabilities and limitations of the Sandbox. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Best practices for maximizing your sandbox experience. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						What’s coming next from Graphwise! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Ready to explore GraphDB instantly? Watch this webinar and unlock the full potential of your data. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                AI Engineering Lead at Graphwise                                                                                                                                      \n                                                                                                                                            \n                                                                                                                                                    Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production.
URL:https://gws-sso-test.graphwise.ai/event/introducing-graphwise-sandbox-explore-the-power-of-graphdb-in-minutes/
LOCATION:Online
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/Sept-10-2025-featured-image-webinar.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250909T160000
DTEND;TZID=Europe/Vienna:20250909T193000
DTSTAMP:20250811T153906Z
CREATED:20250811T133509Z
LAST-MODIFIED:20250811T153906Z
UID:240986-1757433600-1757446200@gws-sso-test.graphwise.ai
SUMMARY:UNDERPIN Road Show | Vienna
DESCRIPTION:Join us for the UNDERPIN Road Show in Vienna\, a key event exploring how data spaces and AI are transforming the future of manufacturing and energy sectors. Part of the UNDERPIN project\, this event brings together industry leaders\, innovators\, and stakeholders for an afternoon of expert talks\, real-world use cases\, and networking. \nWhat to Expect: \n\nInsights into data sharing and predictive maintenance in manufacturing\nLatest on the Underpin Data Space for Manufacturing Excellence\nUpdates on Digital Product Passports (DPP) and their role in sustainability\nPerspectives from SMEs\, service providers\, OEMs\, and more\nNetworking with drinks & finger food\n\nAgenda Highlights: \n\nWelcome by Vienna Business Agency\nKeynotes from Graphwise\, Motor Oil\, and AIT\nUse cases in wind energy\, AI-driven maintenance\, and digital twins\nInteractive Q&A and networking session\n\nThis event is ideal for professionals in manufacturing\, energy\, AI\, and sustainability—from machine tool makers to recyclers. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/underpin-road-show-in-viennaon-site-event-template-duplicate-me/
LOCATION:Expat Center of the Vienna Business Agency\, Schmerlingpl. 3\, Vienna\, 1010\, Austria
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/VIENNA-Road-show-all-980x551-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250909T160000
DTEND;TZID=Europe/Vienna:20250909T193000
DTSTAMP:20250811T133509Z
CREATED:20250811T133509Z
LAST-MODIFIED:20250811T133509Z
UID:252308-1757433600-1757446200@gws-sso-test.graphwise.ai
SUMMARY:UNDERPIN Road Show | Vienna
DESCRIPTION:Join us for the UNDERPIN Road Show in Vienna\, a key event exploring how data spaces and AI are transforming the future of manufacturing and energy sectors. Part of the UNDERPIN project\, this event brings together industry leaders\, innovators\, and stakeholders for an afternoon of expert talks\, real-world use cases\, and networking. \nWhat to Expect: \n\nInsights into data sharing and predictive maintenance in manufacturing\nLatest on the Underpin Data Space for Manufacturing Excellence\nUpdates on Digital Product Passports (DPP) and their role in sustainability\nPerspectives from SMEs\, service providers\, OEMs\, and more\nNetworking with drinks & finger food\n\nAgenda Highlights: \n\nWelcome by Vienna Business Agency\nKeynotes from Graphwise\, Motor Oil\, and AIT\nUse cases in wind energy\, AI-driven maintenance\, and digital twins\nInteractive Q&A and networking session\n\nThis event is ideal for professionals in manufacturing\, energy\, AI\, and sustainability—from machine tool makers to recyclers. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/underpin-road-show-in-viennaon-site-event-template-duplicate-me-2/
LOCATION:Expat Center of the Vienna Business Agency\, Schmerlingpl. 3\, Vienna\, 1010\, Austria
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/VIENNA-Road-show-all-980x551-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250903
DTEND;VALUE=DATE:20250906
DTSTAMP:20250618T144425Z
CREATED:20250514T161458Z
LAST-MODIFIED:20250618T144425Z
UID:168073-1756857600-1757116799@gws-sso-test.graphwise.ai
SUMMARY:SEMANTiCS 2025
DESCRIPTION:  \n📢Last Chance to Submit: SEMANTiCS 2025 – Industry & Use Case Presentations \nHave a real-world solution using Linked Data\, Knowledge Graphs\, Artificial Intelligence\, Machine Learning\, Data Publishing\, Thesaurus and/or Ontology management\, and any related fields? This is your chance to showcase it! SEMANTiCS 2025 is looking for impactful Industry & Use Cases that go beyond prototypes and demonstrate the power of semantic systems. \n📍 Vienna\, Austria | Sept 3-5\, 2025\n🗓️ Submission Deadline Approaching: June 1\, 2025 (11:59 pm AoE) \n🔗 More info: https://2025-eu.semantics.cc/page/industry \n \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/semantics-vienna-2025/
LOCATION:Hilton Vienna Waterfront\, Handelskai 269\, Vienna\, 1020
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/05/semantics_2025_feature_img.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250903T000000
DTEND;TZID=Europe/Vienna:20250905T235959
DTSTAMP:20250514T161458Z
CREATED:20250514T161458Z
LAST-MODIFIED:20250514T161458Z
UID:252284-1756857600-1757116799@gws-sso-test.graphwise.ai
SUMMARY:SEMANTiCS 2025
DESCRIPTION:  \n📢Last Chance to Submit: SEMANTiCS 2025 – Industry & Use Case Presentations \nHave a real-world solution using Linked Data\, Knowledge Graphs\, Artificial Intelligence\, Machine Learning\, Data Publishing\, Thesaurus and/or Ontology management\, and any related fields? This is your chance to showcase it! SEMANTiCS 2025 is looking for impactful Industry & Use Cases that go beyond prototypes and demonstrate the power of semantic systems. \n📍 Vienna\, Austria | Sept 3-5\, 2025\n🗓️ Submission Deadline Approaching: June 1\, 2025 (11:59 pm AoE) \n🔗 More info: https://2025-eu.semantics.cc/page/industry \n \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/semantics-vienna-2025-2/
LOCATION:Hilton Vienna Waterfront\, Handelskai 269\, Vienna\, 1020
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/05/semantics_2025_feature_img.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250828T180000
DTEND;TZID=Europe/Vienna:20250828T190000
DTSTAMP:20260219T115224Z
CREATED:20250807T130422Z
LAST-MODIFIED:20260219T115224Z
UID:164832-1756404000-1756407600@gws-sso-test.graphwise.ai
SUMMARY:Webinar: Building a Semantic Layer with AI Agents
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Building a Semantic Layer with AI Agents\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						August 28\, 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                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Unlocking Intelligent Insights \nAs organizations drown in vast volumes of structured and unstructured data\, the need for a robust semantic layer has become critical to enable intelligent understanding across heterogenous data. \nThis on-demand webinar\, discusses building graph-structured semantic layers that encodes ontologies\, metadata\, and lineage allowing explainable understanding of domain semantics using AI agents powered by knowledge graphs and Graph RAG. \nThis combines symbolic reasoning capabilities of knowledge graphs with generative power of LLMs for AI agents to dynamically interpret business context\, navigate complex data relationships\, and generate accurate\, context-aware insights. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Key Takeaways from the webinar:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Why Semantic Layer is the critical missing piece in the enterprise data management space\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How can organizations approach building a Semantic Layer\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How Graphwise.AI can help organizations build the Semantic layer with Agents \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Live demo with Q&A session!\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				The session will cover architectural patterns and design principles for integrating Graph RAG into your data ecosystem\, enabling agents to retrieve precise subgraphs relevant to a user query\, and augment generative responses with structured context. \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                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                AI Engineering Lead at Graphwise                                                                                                                                      \n                                                                                                                                            \n                                                                                                                                                    Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production.
URL:https://gws-sso-test.graphwise.ai/event/building-a-semantic-layer-with-ai-agents/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/05/Webinar-Featured-Image_August-28-2025.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250828T180000
DTEND;TZID=Europe/Vienna:20250828T190000
DTSTAMP:20250807T130422Z
CREATED:20250807T130422Z
LAST-MODIFIED:20250807T130422Z
UID:252353-1756404000-1756407600@gws-sso-test.graphwise.ai
SUMMARY:Webinar: Building a Semantic Layer with AI Agents
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Building a Semantic Layer with AI Agents\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						August 28\, 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                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Unlocking Intelligent Insights \nAs organizations drown in vast volumes of structured and unstructured data\, the need for a robust semantic layer has become critical to enable intelligent understanding across heterogenous data. \nThis on-demand webinar\, discusses building graph-structured semantic layers that encodes ontologies\, metadata\, and lineage allowing explainable understanding of domain semantics using AI agents powered by knowledge graphs and Graph RAG. \nThis combines symbolic reasoning capabilities of knowledge graphs with generative power of LLMs for AI agents to dynamically interpret business context\, navigate complex data relationships\, and generate accurate\, context-aware insights. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Key Takeaways from the webinar:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Why Semantic Layer is the critical missing piece in the enterprise data management space\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How can organizations approach building a Semantic Layer\n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How gws-sso-test.graphwise.ai/ can help organizations build the Semantic layer with Agents \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Live demo with Q&A session!\n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				The session will cover architectural patterns and design principles for integrating Graph RAG into your data ecosystem\, enabling agents to retrieve precise subgraphs relevant to a user query\, and augment generative responses with structured context. \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                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                AI Engineering Lead at Graphwise                                                                                                                                      \n                                                                                                                                            \n                                                                                                                                                    Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production.
URL:https://gws-sso-test.graphwise.ai/event/building-a-semantic-layer-with-ai-agents-2/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/05/Webinar-Featured-Image_August-28-2025.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250819T170000
DTEND;TZID=Europe/Vienna:20250819T180000
DTSTAMP:20250807T113041Z
CREATED:20250807T113041Z
LAST-MODIFIED:20250807T113041Z
UID:252337-1755622800-1755626400@gws-sso-test.graphwise.ai
SUMMARY:How to Think About Agentic AI’s Challenges and Opportunities
DESCRIPTION:ON-Demand WEBINAR \n			\n				\n				\n				\n				\n				How to Think About Agentic AI’s Challenges and Opportunities\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						August 19\, 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                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Gartner predicted in June 2025 that 40 percent of agentic AI projects would be cancelled by 2027 due to a lack of sufficient controls\, resources or clear objectives. In the same report\, however\, Gartner also predicted that 15 percent of daily work decisions would be made autonomously with the help of agentic AI by 2028.  \nWhat do enterprises do to position themselves to take advantage of agentic AI’s promise?  Executives get excited about the prospects of agentic AI when they hear about its numerous business transformation possibilities. But then they worry about agent-based malware or other new classes of vulnerabilities and attack vectors that are emerging.  \nWhat’s less evident but equally concerning is context scarcity. Despite its name and its popularity with applications builders\, Model Context Protocol doesn’t really do more than connect agentic users and models to data resources. It’s a clever wiring protocol\, but if the quality\, contextualized data agents need to consume for their purposes\, doesn’t exist\, the agents will fail. \nOrganizations will be quick to start using MCP\, and they will worry less about wiring up and prototyping agentic AI applications\, but the problems with data quality and effective\, scalable integration and interoperation remain unsolved. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				This webinar will review the most effective\, timely ways to build and evolve a ready data and knowledge foundation for agentic AI:\n\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How do organizations use best practices to create contextualized data?  \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How can a good knowledge graph help with process improvement and identifying the best agentic AI use cases? \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How do companies harness the power of knowledge engineering and standards-based knowledge graphs?  \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How do they overcome the organizational challenges that often get in the way of agentic AI success? \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				Watch this webinar to find out more about how to boost your own organization’s data maturity so that successful\, governed AI agent deployments become the norm\, rather than the exception.\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                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                AI Engineering Lead at Graphwise                                                                                                                                      \n                                                                                                                                            \n                                                                                                                                                    Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production.
URL:https://gws-sso-test.graphwise.ai/event/webinar-how-to-think-about-agentic-ais-challenges-and-opportunities-2/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/March-25-2025-featured-image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250819T170000
DTEND;TZID=Europe/Vienna:20250819T180000
DTSTAMP:20260219T120411Z
CREATED:20250807T113041Z
LAST-MODIFIED:20260219T120411Z
UID:240779-1755622800-1755626400@gws-sso-test.graphwise.ai
SUMMARY:How to Think About Agentic AI’s Challenges and Opportunities
DESCRIPTION:ON-Demand WEBINAR \n			\n				\n				\n				\n				\n				How to Think About Agentic AI’s Challenges and Opportunities\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						August 19\, 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                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Gartner predicted in June 2025 that 40 percent of agentic AI projects would be cancelled by 2027 due to a lack of sufficient controls\, resources or clear objectives. In the same report\, however\, Gartner also predicted that 15 percent of daily work decisions would be made autonomously with the help of agentic AI by 2028.  \nWhat do enterprises do to position themselves to take advantage of agentic AI’s promise?  Executives get excited about the prospects of agentic AI when they hear about its numerous business transformation possibilities. But then they worry about agent-based malware or other new classes of vulnerabilities and attack vectors that are emerging.  \nWhat’s less evident but equally concerning is context scarcity. Despite its name and its popularity with applications builders\, Model Context Protocol doesn’t really do more than connect agentic users and models to data resources. It’s a clever wiring protocol\, but if the quality\, contextualized data agents need to consume for their purposes\, doesn’t exist\, the agents will fail. \nOrganizations will be quick to start using MCP\, and they will worry less about wiring up and prototyping agentic AI applications\, but the problems with data quality and effective\, scalable integration and interoperation remain unsolved. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				This webinar will review the most effective\, timely ways to build and evolve a ready data and knowledge foundation for agentic AI:\n\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How do organizations use best practices to create contextualized data?  \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How can a good knowledge graph help with process improvement and identifying the best agentic AI use cases? \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How do companies harness the power of knowledge engineering and standards-based knowledge graphs?  \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						How do they overcome the organizational challenges that often get in the way of agentic AI success? \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				Watch this webinar to find out more about how to boost your own organization’s data maturity so that successful\, governed AI agent deployments become the norm\, rather than the exception.\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                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Márcia R. Ferreira                                                                AI Engineering Lead at Graphwise                                                                                                                                      \n                                                                                                                                            \n                                                                                                                                                    Márcia builds intelligent enterprise retrieval systems by turning knowledge assets into semantic\, explainable AI. She leads GraphRAG product development using PoolParty’s semantic suite\, GraphDB\, and workflow automation tools—bridging knowledge representation with advanced LLMs to deliver accurate\, scalable\, enterprise-ready retrieval. Her focus is taking GraphRAG from experimentation to production.
URL:https://gws-sso-test.graphwise.ai/event/webinar-how-to-think-about-agentic-ais-challenges-and-opportunities/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/08/March-25-2025-featured-image.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250724T200000
DTEND;TZID=Europe/Vienna:20250724T210000
DTSTAMP:20250618T144119Z
CREATED:20250618T144119Z
LAST-MODIFIED:20250618T144119Z
UID:252306-1753387200-1753390800@gws-sso-test.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                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                        \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \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				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://gws-sso-test.graphwise.ai/event/is-your-data-ready-for-ai-dbta-2025-2/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/Screenshot-2025-06-18-at-16.24.23.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250724T200000
DTEND;TZID=Europe/Vienna:20250724T210000
DTSTAMP:20260219T120703Z
CREATED:20250618T144119Z
LAST-MODIFIED:20260219T120703Z
UID:239479-1753387200-1753390800@gws-sso-test.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                                                                Márcia R. Ferreira                                                                                                                                                                                                \n                                                                                                                                AI Engineering Lead at Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                        \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \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				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://gws-sso-test.graphwise.ai/event/is-your-data-ready-for-ai-dbta-2025/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/Screenshot-2025-06-18-at-16.24.23.png
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