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X-WR-CALDESC:Events for Graphwise
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DTSTART;VALUE=DATE:20250623
DTEND;VALUE=DATE:20250625
DTSTAMP:20250618T140936Z
CREATED:20250618T140529Z
LAST-MODIFIED:20250618T140936Z
UID:239443-1750636800-1750809599@gws-sso-test.graphwise.ai
SUMMARY:Knowledge Summit Dublin
DESCRIPTION:Join a dynamic community of CKOs\, CIOs\, IT professionals\, knowledge managers\, content and records managers\, learning professionals\, researchers\, and educators—anyone passionate about building knowledge-centric organizations. \nAt Knowledge Summit Dublin\, you’ll hear from a world-class lineup of global experts sharing how to harness AI\, knowledge management\, and the human experience to drive smarter\, more connected organizations. \nSet in Dublin—a city rich in literary heritage and now a thriving digital and business hub—this summit offers the perfect backdrop for meaningful conversations\, collaboration\, and co-creation of new knowledge. \nExperience our innovative ‘flipped’ conference format\, designed to foster dialogue over decks. With fewer slides and more interaction\, we prioritize the exchange of tacit knowledge in an environment curated by practitioners\, for practitioners. \nExtend the learning beyond the main sessions with our after-hours knowledge exchange. Don’t miss the immersive ancient knowledge experience\, followed by insightful conversations in the same historic pubs once frequented by literary greats like Joyce\, Wilde\, Beckett\, and Yeats. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/knowledge-summit-dublin-2025/
LOCATION:Trinity College Dublin\, College Green\, Dublin 2\, Ireland
CATEGORIES:Event
ATTACH;FMTTYPE=image/webp:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/06/Screenshot-2025-05-08-at-10.40.34.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250610
DTEND;VALUE=DATE:20250614
DTSTAMP:20250521T145510Z
CREATED:20250424T122519Z
LAST-MODIFIED:20250521T145510Z
UID:167121-1749513600-1749859199@gws-sso-test.graphwise.ai
SUMMARY:EVENT: Data Week Leipzig 2025
DESCRIPTION:Join us at Data Week Leipzig\, a premier networking event that delves into the multifaceted world of data from scientific\, economic\, and social angles. Engage in meaningful dialogues with leaders from government\, industry\, academia\, and business.\n\nWe invite you to Leipzig for a week brimming with enlightening sessions\, where the forefront of digital city innovations and artificial intelligence will be unveiled. With a special emphasis on climate and energy\, seize the chance to participate in hands-on training and workshops. A dedicated day on semantics and AI will reveal how these cutting-edge technologies are shaping a sustainable and resilient future.\n\nBe sure to stop by the Graphwise booth and connect with Márcia R. Ferreira\, Senior Data Engineer and Technical Consultant\, and Michael Sikic\, Senior Channel Marketing Manager!\n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/data-week-leipzig-2025/
LOCATION:Leipzig Neues Rathaus/City Hall\, Martin-Luther-Ring 4-6\, Leipzig\, 04109\, Germany
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/04/241114_Twitter-Save-the-date_engl-1440x820-1.jpg
ORGANIZER;CN="Eccenca":MAILTO:info@eccenca.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250610T000000
DTEND;TZID=Europe/Vienna:20250613T235959
DTSTAMP:20250424T122519Z
CREATED:20250424T122519Z
LAST-MODIFIED:20250424T122519Z
UID:252301-1749513600-1749859199@gws-sso-test.graphwise.ai
SUMMARY:EVENT: Data Week Leipzig 2025
DESCRIPTION:Join us at Data Week Leipzig\, a premier networking event that delves into the multifaceted world of data from scientific\, economic\, and social angles. Engage in meaningful dialogues with leaders from government\, industry\, academia\, and business.\n\nWe invite you to Leipzig for a week brimming with enlightening sessions\, where the forefront of digital city innovations and artificial intelligence will be unveiled. With a special emphasis on climate and energy\, seize the chance to participate in hands-on training and workshops. A dedicated day on semantics and AI will reveal how these cutting-edge technologies are shaping a sustainable and resilient future.\n\nBe sure to stop by the Graphwise booth and connect with Márcia R. Ferreira\, Senior Data Engineer and Technical Consultant\, and Michael Sikic\, Senior Channel Marketing Manager!\n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/data-week-leipzig-2025-2/
LOCATION:Leipzig Neues Rathaus/City Hall\, Martin-Luther-Ring 4-6\, Leipzig\, 04109\, Germany
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/04/241114_Twitter-Save-the-date_engl-1440x820-1.jpg
ORGANIZER;CN="Eccenca":MAILTO:info@eccenca.com
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250521T160000
DTEND;TZID=Europe/Vienna:20250521T170000
DTSTAMP:20260219T125010Z
CREATED:20250425T162701Z
LAST-MODIFIED:20260219T125010Z
UID:167179-1747843200-1747846800@gws-sso-test.graphwise.ai
SUMMARY:Streamline ESG Reporting with AI
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Streamline ESG Reporting with AI\n			\n				\n				\n				\n				\n				A Deep Dive into Recomentor by Graphwise \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						May 21\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Recomentor\, powered by Graphwise\, is a comprehensive\, AI-driven solution that brings clarity and efficiency to ESG (Environmental\, Social\, and Governance) reporting and compliance. By unifying multiple regulatory frameworks—such as CSRD\, GRI\, and more—into a single\, intuitive interface\, it enables organizations to quickly evaluate how their disclosures align with both legal requirements and industry benchmarks.  \nRecomentor’s unique indicators—covering Coverage\, Specificity\, Ambition\, Risks\, and Opportunities—pinpoint precisely where improvements or deeper exploration may be needed. In parallel\, the platform integrates seamlessly with the ESG Knowledge Hub\, a low-hallucination chatbot (Knowledge-hub.eco) that provides transparent\, source-traceable ESG insights. \nThis powerful combination supports a wide range of stakeholders\, including sustainability teams\, ESG consultants\, and financial institutions\, driving faster compliance checks\, richer peer benchmarking\, and more informed\, data-driven decisions. With Recomentor’s assistance\, users can meaningfully elevate their ESG reporting while navigating a rapidly evolving global regulatory landscape. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Discover these key takeways:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Unified ESG Landscape: Simplifies working with multiple frameworks like CSRD and GRI under one roof. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Advanced Indicators: Identifies gaps and opportunities via Coverage\, Specificity\, Ambition\, Risks\, and Opportunities metrics. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						AI-Powered Efficiency: Automates data analysis and reporting\, freeing resources for strategic ESG decision-making. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Low-Hallucination Chatbot: Integrates with Knowledge-hub.eco for reliable\, traceable ESG insights and streamlined user support. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Broad Applicability: Supports sustainability teams\, consultants\, and financial institutions aiming to foster compliance and innovation across diverse industries. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						And much more! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch now to be among the first to learn about Recomentor by Graphwise! \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/webinar-streamline-esg-reporting-ai/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/04/Webinar-may-21-2025-streamline-esg-ai.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250521T160000
DTEND;TZID=Europe/Vienna:20250521T170000
DTSTAMP:20250425T162701Z
CREATED:20250425T162701Z
LAST-MODIFIED:20250425T162701Z
UID:252336-1747843200-1747846800@gws-sso-test.graphwise.ai
SUMMARY:Streamline ESG Reporting with AI
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Streamline ESG Reporting with AI\n			\n				\n				\n				\n				\n				A Deep Dive into Recomentor by Graphwise \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						May 21\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Recomentor\, powered by Graphwise\, is a comprehensive\, AI-driven solution that brings clarity and efficiency to ESG (Environmental\, Social\, and Governance) reporting and compliance. By unifying multiple regulatory frameworks—such as CSRD\, GRI\, and more—into a single\, intuitive interface\, it enables organizations to quickly evaluate how their disclosures align with both legal requirements and industry benchmarks.  \nRecomentor’s unique indicators—covering Coverage\, Specificity\, Ambition\, Risks\, and Opportunities—pinpoint precisely where improvements or deeper exploration may be needed. In parallel\, the platform integrates seamlessly with the ESG Knowledge Hub\, a low-hallucination chatbot (Knowledge-hub.eco) that provides transparent\, source-traceable ESG insights. \nThis powerful combination supports a wide range of stakeholders\, including sustainability teams\, ESG consultants\, and financial institutions\, driving faster compliance checks\, richer peer benchmarking\, and more informed\, data-driven decisions. With Recomentor’s assistance\, users can meaningfully elevate their ESG reporting while navigating a rapidly evolving global regulatory landscape. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Discover these key takeways:\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Unified ESG Landscape: Simplifies working with multiple frameworks like CSRD and GRI under one roof. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Advanced Indicators: Identifies gaps and opportunities via Coverage\, Specificity\, Ambition\, Risks\, and Opportunities metrics. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						AI-Powered Efficiency: Automates data analysis and reporting\, freeing resources for strategic ESG decision-making. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Low-Hallucination Chatbot: Integrates with Knowledge-hub.eco for reliable\, traceable ESG insights and streamlined user support. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						Broad Applicability: Supports sustainability teams\, consultants\, and financial institutions aiming to foster compliance and innovation across diverse industries. \n					\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						And much more! \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Watch now to be among the first to learn about Recomentor by Graphwise! \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Watch the webinar\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/webinar-streamline-esg-reporting-ai-2/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/04/Webinar-may-21-2025-streamline-esg-ai.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250514
DTEND;VALUE=DATE:20250516
DTSTAMP:20250521T145851Z
CREATED:20250424T120611Z
LAST-MODIFIED:20250521T145851Z
UID:167110-1747180800-1747353599@gws-sso-test.graphwise.ai
SUMMARY:EVENT: Data Summit Boston 2025
DESCRIPTION:At Data Summit 2025\, you’ll discover groundbreaking strategies from the world’s top companies as they tackle the most pressing challenges in data management today. Whether you’re fascinated by the technical intricacies of cutting-edge technologies or keen on leveraging Big Data for business intelligence and analytics\, Data Summit 2025 is your gateway to innovation!\n\nThis event also features three exclusive colocated experiences. Dive into the AI & Machine Learning Summit for a 2-day deep dive into real-world AI applications\, overcoming common hurdles\, and mastering essential technologies.\n\nExpect to leave Data Summit 2025 with a network of new connections and allies\, along with actionable strategies to propel your business forward. Secure your spot now and join us in Boston this May for an opportunity that could redefine your career and organization!\n\nFor more information and to register for the event\, please visit Data Summit Boston 2025.\n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/data-summit-boston-2025/
LOCATION:Hyatt Regency Boston\, One Avenue de Lafayette\, Boston\, MA\, 02111\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/04/DS25_OG-Website_1200x630_c1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250514T000000
DTEND;TZID=Europe/Vienna:20250515T235959
DTSTAMP:20250424T120611Z
CREATED:20250424T120611Z
LAST-MODIFIED:20250424T120611Z
UID:252300-1747180800-1747353599@gws-sso-test.graphwise.ai
SUMMARY:EVENT: Data Summit Boston 2025
DESCRIPTION:At Data Summit 2025\, you’ll discover groundbreaking strategies from the world’s top companies as they tackle the most pressing challenges in data management today. Whether you’re fascinated by the technical intricacies of cutting-edge technologies or keen on leveraging Big Data for business intelligence and analytics\, Data Summit 2025 is your gateway to innovation!\n\nThis event also features three exclusive colocated experiences. Dive into the AI & Machine Learning Summit for a 2-day deep dive into real-world AI applications\, overcoming common hurdles\, and mastering essential technologies.\n\nExpect to leave Data Summit 2025 with a network of new connections and allies\, along with actionable strategies to propel your business forward. Secure your spot now and join us in Boston this May for an opportunity that could redefine your career and organization!\n\nFor more information and to register for the event\, please visit Data Summit Boston 2025.\n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/data-summit-boston-2025-2/
LOCATION:Hyatt Regency Boston\, One Avenue de Lafayette\, Boston\, MA\, 02111\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/04/DS25_OG-Website_1200x630_c1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250514
DTEND;VALUE=DATE:20250516
DTSTAMP:20250521T145931Z
CREATED:20250321T141351Z
LAST-MODIFIED:20250521T145931Z
UID:165490-1747180800-1747353599@gws-sso-test.graphwise.ai
SUMMARY:EVENT: World AI Technology Expo 2025
DESCRIPTION:Join us at the World AI Technology Expo\, taking place from May 14-15\, 2025\, in lavish Dubai\, UAE. Boasting to be the largest and most comprehensive AI Show & AI Conference globally\, offering an unparalleled platform for innovation and collaboration for businesses in the AI industry\, you won’t want to miss it! \nQuick Facts about the World AI Technology Expo: \n\nConnect directly with AI leaders from over 20 countries.\n50+ speakers from the world’s top AI companies.\nSession in industry-specific AI\, including healthcare\, finance\, and e-commerce. \nAn elaborate awards ceremony and gala evening highlighting over 10\,000 brands in AI and technology.\n\nMake sure to visit the Graphwise booth and connect with our on-site team\, including Andreas Blumauer\, SVP Growth\, and Andrew Frei\, Regional Sales Director Northern Europe & the Middle East. \nFor more information and to register for the event\, please visit World AI Technology Expo. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/world-ai-technology-expo-2025/
LOCATION:Movenpick Grand Albustan Hotel Dubai\, 51st Street & - Casablanca St\, Dubai\, Al Garhoud\, United Arab Emirates
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/World-AI-Tech-Expo-Dubai-2025-Feature-Image-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250514T000000
DTEND;TZID=Europe/Vienna:20250515T235959
DTSTAMP:20250321T141351Z
CREATED:20250321T141351Z
LAST-MODIFIED:20250321T141351Z
UID:252298-1747180800-1747353599@gws-sso-test.graphwise.ai
SUMMARY:EVENT: World AI Technology Expo 2025
DESCRIPTION:Join us at the World AI Technology Expo\, taking place from May 14-15\, 2025\, in lavish Dubai\, UAE. Boasting to be the largest and most comprehensive AI Show & AI Conference globally\, offering an unparalleled platform for innovation and collaboration for businesses in the AI industry\, you won’t want to miss it! \nQuick Facts about the World AI Technology Expo: \n\nConnect directly with AI leaders from over 20 countries.\n50+ speakers from the world’s top AI companies.\nSession in industry-specific AI\, including healthcare\, finance\, and e-commerce. \nAn elaborate awards ceremony and gala evening highlighting over 10\,000 brands in AI and technology.\n\nMake sure to visit the Graphwise booth and connect with our on-site team\, including Andreas Blumauer\, SVP Growth\, and Andrew Frei\, Regional Sales Director Northern Europe & the Middle East. \nFor more information and to register for the event\, please visit World AI Technology Expo. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/world-ai-technology-expo-2025-2/
LOCATION:Movenpick Grand Albustan Hotel Dubai\, 51st Street & - Casablanca St\, Dubai\, Al Garhoud\, United Arab Emirates
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/World-AI-Tech-Expo-Dubai-2025-Feature-Image-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250513T000000
DTEND;TZID=Europe/Vienna:20250513T124500
DTSTAMP:20250501T100001Z
CREATED:20250501T100001Z
LAST-MODIFIED:20250501T100001Z
UID:252302-1747094400-1747140300@gws-sso-test.graphwise.ai
SUMMARY:2nd SM4RT-PIN Deep Dive
DESCRIPTION:In 2023\, two projects were funded under the DIGITAL-2022-CLOUD-AI-03-DS-MANUF call for Data space for manufacturing (deployment) : SM4RTENANCE and UNDERPIN. As part of both projects’ strategy for knowledge transfer and open collaborative innovation\, both projects have agreed to involve in some frequent SM4RT-UNDERPIN Deep Dive online events to expand the European and International knowledge of Manufacturing-related data spaces technologies\, components and deployments. \nConsequently\, you are kindly invited to join us again into these SM4RT-UNDERPIN Deep Dives\, brief online workshops dedicated to exploring the business and technical applications of Data Spaces in the manufacturing industry\, as part of the green\, circular and digital transformation of the European manufacturing industry. \nIn this 2nd SM4RT-UNDERPIN Deep Dive\, Peter Ivanov and Vladimir Alexiev from gws-sso-test.graphwise.ai/ will present their deep dive on Semantic Metadata Interoperability (SMI) for data discovery & analytics in UNDERPIN Data Spaces. \nThis Deep Dive will start with a welcome and introduction session from Innovalia Association about the common knowledge transfer strategy of SM4RTENANCE and UNDERPIN projects and how these deep dives will contribute to expanding data spaces knowledge. Afterwards\, there will be a brief introductory session of the UNDERPIN project and its predictive maintenance use-cases on refinery and wind farms\, followed by key added value information about the UNDERPIN data space and the integration of Semantic Metadata Interoperability (SMI) for data discovery & analytics\, followed by an open debate with space for Questions and Answers. \nAGENDA\n\n\n\n\n12:00\nWelcome & IntroductionKatia Lavin\, Innovalia Association\n\n\n12:10\nSemantic Metadata Interoperability (SMI) for data discovery & analyticfs in UNDERPIN Data SpacesPeter Ivanov & Vladimir Alexiev\, gws-sso-test.graphwise.ai/\n\n\n12:35\nOpen Discussion and Q&AKatia Lavin\, Innovalia Associationr\n\n\n\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Download Slides\n			\n			\n				\n				\n				\n				\n				\n				Watch Recording
URL:https://gws-sso-test.graphwise.ai/event/2nd-sm4rt-pin-deep-dive-2/
LOCATION:Online
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/05/DD2-Semantic-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250513T000000
DTEND;TZID=Europe/Vienna:20250513T124500
DTSTAMP:20250612T123456Z
CREATED:20250501T100001Z
LAST-MODIFIED:20250612T123456Z
UID:167627-1747094400-1747140300@gws-sso-test.graphwise.ai
SUMMARY:2nd SM4RT-PIN Deep Dive
DESCRIPTION:In 2023\, two projects were funded under the DIGITAL-2022-CLOUD-AI-03-DS-MANUF call for Data space for manufacturing (deployment) : SM4RTENANCE and UNDERPIN. As part of both projects’ strategy for knowledge transfer and open collaborative innovation\, both projects have agreed to involve in some frequent SM4RT-UNDERPIN Deep Dive online events to expand the European and International knowledge of Manufacturing-related data spaces technologies\, components and deployments. \nConsequently\, you are kindly invited to join us again into these SM4RT-UNDERPIN Deep Dives\, brief online workshops dedicated to exploring the business and technical applications of Data Spaces in the manufacturing industry\, as part of the green\, circular and digital transformation of the European manufacturing industry. \nIn this 2nd SM4RT-UNDERPIN Deep Dive\, Peter Ivanov and Vladimir Alexiev from Graphwise.ai will present their deep dive on Semantic Metadata Interoperability (SMI) for data discovery & analytics in UNDERPIN Data Spaces. \nThis Deep Dive will start with a welcome and introduction session from Innovalia Association about the common knowledge transfer strategy of SM4RTENANCE and UNDERPIN projects and how these deep dives will contribute to expanding data spaces knowledge. Afterwards\, there will be a brief introductory session of the UNDERPIN project and its predictive maintenance use-cases on refinery and wind farms\, followed by key added value information about the UNDERPIN data space and the integration of Semantic Metadata Interoperability (SMI) for data discovery & analytics\, followed by an open debate with space for Questions and Answers. \nAGENDA\n\n\n\n\n12:00\nWelcome & IntroductionKatia Lavin\, Innovalia Association\n\n\n12:10\nSemantic Metadata Interoperability (SMI) for data discovery & analyticfs in UNDERPIN Data SpacesPeter Ivanov & Vladimir Alexiev\, Graphwise.ai\n\n\n12:35\nOpen Discussion and Q&AKatia Lavin\, Innovalia Associationr\n\n\n\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Download Slides\n			\n			\n				\n				\n				\n				\n				\n				Watch Recording
URL:https://gws-sso-test.graphwise.ai/event/2nd-sm4rt-pin-deep-dive/
LOCATION:Online
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/05/DD2-Semantic-1.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250512T000000
DTEND;TZID=Europe/Vienna:20250514T235959
DTSTAMP:20250424T114553Z
CREATED:20250424T114553Z
LAST-MODIFIED:20250424T114553Z
UID:252318-1747008000-1747267199@gws-sso-test.graphwise.ai
SUMMARY:EVENT: Gartner Data & Analytics Summit 2025 (EMEA)
DESCRIPTION:Join us at the Gartner Data & Analytics Summit\, taking place from May 12 – 14\, 2025\, in London\, EK. It is a key event for leaders in data\, analytics\, and AI to explore the latest trends and techniques in data management and governance. \nQuick Facts of the Gartner Data & Analytics Summit: \n\nThe summit focuses on data management\, trends\, governance\, and architecture.\nIt is based on reliable insights from extensive conversations between Gartner experts and the IT community.\nA global team of over 60 experts will assist attendees in creating and validating their strategies with actionable insights.\nAttendees can network with more than 5\,000 industry leaders and over 120 solution providers.\n\nUnlock the opportunity to gain invaluable insights from industry leaders\, access personalized strategies designed to elevate your enterprise\, and embark on a journey to expand and fortify your professional network. This is your moment to connect\, learn\, and grow with like-minded professionals who are eager to share their knowledge and experiences. \nFor more information and to register for the event\, please visit Gartner Data & Analytics Summit. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/gartner_data_analystics_summit_2025_emea-2/
LOCATION:ExCeL London\, Royal Victoria Dock\, 1 Western Gateway London\, London\, E16 1XL\, United Kingdom
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/04/Event_Featured_IMG_1600_900_GartnerEMEA_London_May2025.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250512
DTEND;VALUE=DATE:20250515
DTSTAMP:20250521T150016Z
CREATED:20250424T114553Z
LAST-MODIFIED:20250521T150016Z
UID:167093-1747008000-1747267199@gws-sso-test.graphwise.ai
SUMMARY:EVENT: Gartner Data & Analytics Summit 2025 (EMEA)
DESCRIPTION:Join us at the Gartner Data & Analytics Summit\, taking place from May 12 – 14\, 2025\, in London\, EK. It is a key event for leaders in data\, analytics\, and AI to explore the latest trends and techniques in data management and governance. \nQuick Facts of the Gartner Data & Analytics Summit: \n\nThe summit focuses on data management\, trends\, governance\, and architecture.\nIt is based on reliable insights from extensive conversations between Gartner experts and the IT community.\nA global team of over 60 experts will assist attendees in creating and validating their strategies with actionable insights.\nAttendees can network with more than 5\,000 industry leaders and over 120 solution providers.\n\nUnlock the opportunity to gain invaluable insights from industry leaders\, access personalized strategies designed to elevate your enterprise\, and embark on a journey to expand and fortify your professional network. This is your moment to connect\, learn\, and grow with like-minded professionals who are eager to share their knowledge and experiences. \nFor more information and to register for the event\, please visit Gartner Data & Analytics Summit. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/gartner_data_analystics_summit_2025_emea/
LOCATION:ExCeL London\, Royal Victoria Dock\, 1 Western Gateway London\, London\, E16 1XL\, United Kingdom
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/04/Event_Featured_IMG_1600_900_GartnerEMEA_London_May2025.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250507T180000
DTEND;TZID=Europe/Vienna:20250507T193000
DTSTAMP:20250417T154730Z
CREATED:20250417T154730Z
LAST-MODIFIED:20250417T154730Z
UID:252354-1746640800-1746646200@gws-sso-test.graphwise.ai
SUMMARY:Graph Center of Excellence: Revolutionize your Enterprise Data Management with Graph Technology
DESCRIPTION:ON-DEMAND WEBINAR\n			\n				\n				\n				\n				\n				Graph Center of Excellence\n			\n				\n				\n				\n				\n				Revolutionize your Enterprise Data Management with Graph Technology\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \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 the Graph Center of Excellence Revolution! \nAs we stand on the brink of the AI revolution\, many organizations find themselves entangled in the complexities of disparate\, isolated data systems. Challenges like data governance\, trust issues\, and poor data quality are just a few of the hurdles stalling the progress of enterprise AI initiatives. \nEnter graph technologies—your essential ally in crafting data-driven strategies for the AI era. These innovative approaches streamline and elevate data management\, offering substantial cost reductions while significantly enhancing your ability to derive valuable insights and integrate them seamlessly into your business operations. \nThis session underscores the imperative for organizations to develop robust graph technology capabilities\, simplifying and refining data integration and governance across fragmented data landscapes. Discover how these cutting-edge technologies unlock a spectrum of enhanced data outcomes\, paving the way for groundbreaking advancements in data analytics and automation that were once out of reach. \nJoin us to delve into the strategic adoption of graph technologies within your enterprise. We’ll guide you through establishing a Graph Center of Excellence (CoE)\, emphasizing its critical role\, practical applications\, starting points\, governance needs\, and best practices for a triumphant implementation. \nYou’ll uncover the foundational elements of the Graph CoE\, including: \n\nKey Elements of the Graph CoE\nStrategic Graph Deployment\nReal Life Use Cases\n\nMoreover\, you’ll gain these invaluable insights on: \n\nWhy Organizations Need to Change Their Data Management Paradigm\nThe “Bad Data Tax” Organizations are repeatedly paying with low payoff\nThe Solution to the Data Dilemma\n\nWatch now to learn how establishing a Graph Center of Excellence can revolutionize your enterprise. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				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                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/graph-coe-revoltionize-enterprise-data-management-graph-technology-2/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/04/webinar-3626201_1920-500x281-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250507T180000
DTEND;TZID=Europe/Vienna:20250507T193000
DTSTAMP:20260617T130159Z
CREATED:20250417T154730Z
LAST-MODIFIED:20260617T130159Z
UID:166911-1746640800-1746646200@gws-sso-test.graphwise.ai
SUMMARY:Graph Center of Excellence: Revolutionize your Enterprise Data Management with Graph Technology
DESCRIPTION:ON-DEMAND WEBINAR\n			\n				\n				\n				\n				\n				Graph Center of Excellence\n			\n				\n				\n				\n				\n				Revolutionize your Enterprise Data Management with Graph Technology\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \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 the Graph Center of Excellence Revolution! \nAs we stand on the brink of the AI revolution\, many organizations find themselves entangled in the complexities of disparate\, isolated data systems. Challenges like data governance\, trust issues\, and poor data quality are just a few of the hurdles stalling the progress of enterprise AI initiatives. \nEnter graph technologies—your essential ally in crafting data-driven strategies for the AI era. These innovative approaches streamline and elevate data management\, offering substantial cost reductions while significantly enhancing your ability to derive valuable insights and integrate them seamlessly into your business operations. \nThis session underscores the imperative for organizations to develop robust graph technology capabilities\, simplifying and refining data integration and governance across fragmented data landscapes. Discover how these cutting-edge technologies unlock a spectrum of enhanced data outcomes\, paving the way for groundbreaking advancements in data analytics and automation that were once out of reach. \nJoin us to delve into the strategic adoption of graph technologies within your enterprise. We’ll guide you through establishing a Graph Center of Excellence (CoE)\, emphasizing its critical role\, practical applications\, starting points\, governance needs\, and best practices for a triumphant implementation. \nYou’ll uncover the foundational elements of the Graph CoE\, including: \n\nKey Elements of the Graph CoE\nStrategic Graph Deployment\nReal Life Use Cases\n\nMoreover\, you’ll gain these invaluable insights on: \n\nWhy Organizations Need to Change Their Data Management Paradigm\nThe “Bad Data Tax” Organizations are repeatedly paying with low payoff\nThe Solution to the Data Dilemma\n\nWatch now to learn how establishing a Graph Center of Excellence can revolutionize your enterprise. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				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                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/graph-coe-revoltionize-enterprise-data-management-graph-technology/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/04/webinar-3626201_1920-500x281-1.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250506
DTEND;VALUE=DATE:20250509
DTSTAMP:20250521T150036Z
CREATED:20250422T161655Z
LAST-MODIFIED:20250521T150036Z
UID:167019-1746489600-1746748799@gws-sso-test.graphwise.ai
SUMMARY:EVENT: Microsoft 365 Community Conference
DESCRIPTION:Join us at the world’s largest in-person Microsoft 365 event returns to Las Vegas! Join thousands of professionals for 200+ sessions\, hands-on workshops\, and three major Microsoft keynotes. Meet 150+ Microsoft engineers\, get the latest on Copilot\, Teams\, SharePoint\, and AI-powered workplace innovations\, and enjoy unique networking opportunities. \nQuick Facts about the conference: \n\nOver 200 sessions\, workshops\, and keynotes\nAttendees can meet and learn directly product leaders\, gaining first-hand knowledge and guidance on Microsoft 365 tools\nUnique networking opportunities abound\, from community lounge meetups and table topic discussions to hands-on workshops and an attendee party\n\nMake sure to visit the Graphwise for M365 booth and connect with our on-site team\, including Rick Crane\, SVP Revenue\, and Martin Trajkov\, Director Partner Sales USA . \nFor more information and to register for the event\, please visit Microsoft 365 Community Conference. \n 
URL:https://gws-sso-test.graphwise.ai/event/event-microsoft-365-community-conference/
LOCATION:MGM GRAND\, 3799 S. Las Vegas Blvd.\, Las Vegas\, NV\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/04/M365-Exhibitor-GRAPHWISE_2025-04-15.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250506T000000
DTEND;TZID=Europe/Vienna:20250508T235959
DTSTAMP:20250422T161655Z
CREATED:20250422T161655Z
LAST-MODIFIED:20250422T161655Z
UID:252299-1746489600-1746748799@gws-sso-test.graphwise.ai
SUMMARY:EVENT: Microsoft 365 Community Conference
DESCRIPTION:Join us at the world’s largest in-person Microsoft 365 event returns to Las Vegas! Join thousands of professionals for 200+ sessions\, hands-on workshops\, and three major Microsoft keynotes. Meet 150+ Microsoft engineers\, get the latest on Copilot\, Teams\, SharePoint\, and AI-powered workplace innovations\, and enjoy unique networking opportunities. \nQuick Facts about the conference: \n\nOver 200 sessions\, workshops\, and keynotes\nAttendees can meet and learn directly product leaders\, gaining first-hand knowledge and guidance on Microsoft 365 tools\nUnique networking opportunities abound\, from community lounge meetups and table topic discussions to hands-on workshops and an attendee party\n\nMake sure to visit the Graphwise for M365 booth and connect with our on-site team\, including Rick Crane\, SVP Revenue\, and Martin Trajkov\, Director Partner Sales USA . \nFor more information and to register for the event\, please visit Microsoft 365 Community Conference. \n 
URL:https://gws-sso-test.graphwise.ai/event/event-microsoft-365-community-conference-2/
LOCATION:MGM GRAND\, 3799 S. Las Vegas Blvd.\, Las Vegas\, NV\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/04/M365-Exhibitor-GRAPHWISE_2025-04-15.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250506T000000
DTEND;TZID=Europe/Vienna:20250508T235959
DTSTAMP:20250321T133455Z
CREATED:20250321T133455Z
LAST-MODIFIED:20250321T133455Z
UID:252297-1746489600-1746748799@gws-sso-test.graphwise.ai
SUMMARY:EVENT: LEARNTEC 2025
DESCRIPTION:Join us at LEARNTEC 2025\, taking place from May 6-8\, 2025\, in quite fine Karlsruhe\, Germany. It is the industry meeting place for anyone who is interested in the latest trends in digital learning. Here\, you can find a unique network of partners\, experts\, multipliers and media partners – the ideal place to forge new contacts. \nDon’t miss Graphwise’s own Helmut Nagy\, VP Sales Enablement\, as he co-presents “Intelligent service chatbot based on microtraining content\, knowledge graphs with competence models and generative AI” with Harald Stadlbauer\, CEO at NINEFEB\, on May 6th\, 2025 from 11:30 – 12:45 CEST. \nFor more information and to register for the event\, please visit LEARNTEC 2025. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/learntec-2025-karlsruhe-2/
LOCATION:Karlsruhe Trade Fair Centre\, Messeallee 1\, Rheinstetten\, 76287\, Germany
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/Learntec-2025-feat-img.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250506
DTEND;VALUE=DATE:20250509
DTSTAMP:20251021T073951Z
CREATED:20250321T133455Z
LAST-MODIFIED:20251021T073951Z
UID:165473-1746489600-1746748799@gws-sso-test.graphwise.ai
SUMMARY:EVENT: LEARNTEC 2025
DESCRIPTION:Join us at LEARNTEC 2025\, taking place from May 6-8\, 2025\, in quite fine Karlsruhe\, Germany. It is the industry meeting place for anyone who is interested in the latest trends in digital learning. Here\, you can find a unique network of partners\, experts\, multipliers and media partners – the ideal place to forge new contacts. \nDon’t miss Graphwise’s own Helmut Nagy\, VP Sales Enablement\, as he co-presents “Intelligent service chatbot based on microtraining content\, knowledge graphs with competence models and generative AI” with Harald Stadlbauer\, CEO at NINEFEB\, on May 6th\, 2025 from 11:30 – 12:45 CEST. \nFor more information and to register for the event\, please visit LEARNTEC 2025. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/learntec-2025-karlsruhe/
LOCATION:Karlsruhe Trade Fair Centre\, Messeallee 1\, Rheinstetten\, 76287\, Germany
CATEGORIES:Event
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/Learntec-2025-feat-img.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250505T000000
DTEND;TZID=Europe/Vienna:20250509T235959
DTSTAMP:20250321T130957Z
CREATED:20250321T130957Z
LAST-MODIFIED:20250321T130957Z
UID:252296-1746403200-1746835199@gws-sso-test.graphwise.ai
SUMMARY:EVENT: Data Governance & Information Quality (DGIQ) + Enterprise Data World (EDW) Conference 2025
DESCRIPTION:Join us at the Data Governance & Information Quality (DGIQ) + Enterprise Data World (EDW) Conference\, taking place from May 5-9\, 2025\, in sunny Anaheim\, CA. The DGIQ + EDW 2025 is set to be the most comprehensive conference in data management\, governance\, and information quality. \nQuick Facts about the DGIQ + EDW 2025: \n\n18 in-depth Tutorials and 9 Seminars/Workshops\n60+ Conference Sessions and Case Studies\n110+ thought leaders and experts in their fields\nNew tips\, strategies\, and solutions to use in your own DG Program\nLasting connections and a community that understands you!\n\nDon’t miss your chance to experience this unparalleled event and visit our Graphwise booth to connect with our on-site team\, including Martin Kaltenboeck\, Co-Founder and SVP of Customer Success\, Daniel Galler\, Strategic Vertical Director – IT and Consulting\, and Lewis Guess\, Regional Sales Director – West. \nFor more information and to register for the event\, please visit DGIQ + EDW 2025. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/dgiq-and-edw-conference-2025-2/
LOCATION:The Westin Anaheim Resort\, 1030 W Katella Ave\, Anaheim\, CA\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/DGIQ_EDW_MeetUs_featimg_2025.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250505
DTEND;VALUE=DATE:20250510
DTSTAMP:20260617T113051Z
CREATED:20250321T130957Z
LAST-MODIFIED:20260617T113051Z
UID:165454-1746403200-1746835199@gws-sso-test.graphwise.ai
SUMMARY:EVENT: Data Governance & Information Quality (DGIQ) + Enterprise Data World (EDW) Conference 2025
DESCRIPTION:Join us at the Data Governance & Information Quality (DGIQ) + Enterprise Data World (EDW) Conference\, taking place from May 5-9\, 2025\, in sunny Anaheim\, CA. The DGIQ + EDW 2025 is set to be the most comprehensive conference in data management\, governance\, and information quality. \nQuick Facts about the DGIQ + EDW 2025: \n\n18 in-depth Tutorials and 9 Seminars/Workshops\n60+ Conference Sessions and Case Studies\n110+ thought leaders and experts in their fields\nNew tips\, strategies\, and solutions to use in your own DG Program\nLasting connections and a community that understands you!\n\nDon’t miss your chance to experience this unparalleled event and visit our Graphwise booth to connect with our on-site team\, including Martin Kaltenboeck\, Co-Founder and SVP of Customer Success\, Daniel Galler\, Strategic Vertical Director – IT and Consulting\, and Lewis Guess\, Regional Sales Director – West. \nFor more information and to register for the event\, please visit DGIQ + EDW 2025. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/dgiq-and-edw-conference-2025/
LOCATION:The Westin Anaheim Resort\, 1030 W Katella Ave\, Anaheim\, CA\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/DGIQ_EDW_MeetUs_featimg_2025.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250505
DTEND;VALUE=DATE:20250510
DTSTAMP:20250521T150111Z
CREATED:20250321T122445Z
LAST-MODIFIED:20250521T150111Z
UID:165436-1746403200-1746835199@gws-sso-test.graphwise.ai
SUMMARY:Event: Knowledge Graph Conference 2025
DESCRIPTION:Join us at the Knowledge Graph Conference\, taking place from May 5-6\, 2025\, at Cornell Tech NYC in New York\, NY. The Knowledge Graph Conference is a pioneer in the rapidly growing field of knowledge graphs and related technologies such as graph neural networks\, natural language processing\, graph data science\, Large Language Models (LLMs)\, and more. \nQuick Facts of the Knowledge Graph Conference (KGC): \n\nThe KGC draws over 1000 attendees from more than 50 countries.\nThis year the KGC has 40+ partners and 150+ speakers.\nNetworking events with diverse groups of industry practitioners\, developers\, researchers\, librarians\, students\, investors\, and more.\nUltimately\, the KGC brings together leaders across industry and research\, defining the future of semantic technologies and AI.\n\nBe sure to stop by the Graphwise booth to connect with our on-site team\, including Atanas Kiryakov\, President of Graphwise\, Peio Popov\, VP of Business Operations USA\, Martin Trajkov\, Director Partner Sales USA\, and Maria Litsios\, Sales Engineer. \nFor more information and to register for the event\, please visit Knowledge Graph Conference 2025. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/knowledge-graph-conference-2025/
LOCATION:Cornell Tech NYC\, 2 W Loop Rd\, New York\, NY\, 10044\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/KGC-2025-Feature-Image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250505T000000
DTEND;TZID=Europe/Vienna:20250509T235959
DTSTAMP:20250321T122445Z
CREATED:20250321T122445Z
LAST-MODIFIED:20250321T122445Z
UID:252295-1746403200-1746835199@gws-sso-test.graphwise.ai
SUMMARY:Event: Knowledge Graph Conference 2025
DESCRIPTION:Join us at the Knowledge Graph Conference\, taking place from May 5-6\, 2025\, at Cornell Tech NYC in New York\, NY. The Knowledge Graph Conference is a pioneer in the rapidly growing field of knowledge graphs and related technologies such as graph neural networks\, natural language processing\, graph data science\, Large Language Models (LLMs)\, and more. \nQuick Facts of the Knowledge Graph Conference (KGC): \n\nThe KGC draws over 1000 attendees from more than 50 countries.\nThis year the KGC has 40+ partners and 150+ speakers.\nNetworking events with diverse groups of industry practitioners\, developers\, researchers\, librarians\, students\, investors\, and more.\nUltimately\, the KGC brings together leaders across industry and research\, defining the future of semantic technologies and AI.\n\nBe sure to stop by the Graphwise booth to connect with our on-site team\, including Atanas Kiryakov\, President of Graphwise\, Peio Popov\, VP of Business Operations USA\, Martin Trajkov\, Director Partner Sales USA\, and Maria Litsios\, Sales Engineer. \nFor more information and to register for the event\, please visit Knowledge Graph Conference 2025. \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/knowledge-graph-conference-2025-2/
LOCATION:Cornell Tech NYC\, 2 W Loop Rd\, New York\, NY\, 10044\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/KGC-2025-Feature-Image.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250404T093000
DTEND;TZID=Europe/Vienna:20250404T103000
DTSTAMP:20260225T103200Z
CREATED:20250321T110247Z
LAST-MODIFIED:20260225T103200Z
UID:165420-1743759000-1743762600@gws-sso-test.graphwise.ai
SUMMARY:Talk: Using iiRDS to publish Intelligent Content as a Service
DESCRIPTION:Live TALK\n			\n				\n				\n				\n				\n				Using iiRDs to publish intelligent Content as a Service\n			\n				\n				\n				\n				\n				Use cases and discussion\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						April 4\, 2025\n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						Vienna | 9:30 a.m. – 10:30 a.m. CEST\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                        \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n	\n	\n\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Using iiRDS to Publish Intelligent Content as a Service \nThe requirements for the provision of content for technical communication have steadily increased in recent years. Manufacturers are becoming service companies and documentation is gaining a relevance that goes beyond the fulfilment of legal obligations. The shortage of skilled labour means that technical documentation is also becoming relevant in the context of training and further education activities. This means that\, on the one hand\, the user-related or context-related provision of content is becoming increasingly relevant and\, on the other hand\, the combination of content from different sources is becoming more and more important. \nWe will show use cases on how iiRDS can be used as the backbone for delivery for creating intelligent content graphs (as the basis for digital twins) that offer content as a service by combining content and knowledge graphs. This should provide a basis for discussion and knowledge sharing. \nKey Takeaways: \n\nWhy iiRDS and intelligent content is needed to provide a better content delivery\nHow to turn content into an intelligent content graph\nSome use cases that can be covered in this combination\nHow graphRAG solutions benefit from it how the model was built\n\n(informationenergy.org)\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register Now\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/using-iirds-to-publish-intelligent-content-as-a-service/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/csm_ie-header-Europe-1-1920x720_a835ba6df9.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250404T093000
DTEND;TZID=Europe/Vienna:20250404T103000
DTSTAMP:20250321T110247Z
CREATED:20250321T110247Z
LAST-MODIFIED:20250321T110247Z
UID:252282-1743759000-1743762600@gws-sso-test.graphwise.ai
SUMMARY:Talk: Using iiRDS to publish Intelligent Content as a Service
DESCRIPTION:Live TALK\n			\n				\n				\n				\n				\n				Using iiRDs to publish intelligent Content as a Service\n			\n				\n				\n				\n				\n				Use cases and discussion\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						April 4\, 2025\n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						Vienna | 9:30 a.m. – 10:30 a.m. CEST\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                        \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n	\n	\n\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Using iiRDS to Publish Intelligent Content as a Service \nThe requirements for the provision of content for technical communication have steadily increased in recent years. Manufacturers are becoming service companies and documentation is gaining a relevance that goes beyond the fulfilment of legal obligations. The shortage of skilled labour means that technical documentation is also becoming relevant in the context of training and further education activities. This means that\, on the one hand\, the user-related or context-related provision of content is becoming increasingly relevant and\, on the other hand\, the combination of content from different sources is becoming more and more important. \nWe will show use cases on how iiRDS can be used as the backbone for delivery for creating intelligent content graphs (as the basis for digital twins) that offer content as a service by combining content and knowledge graphs. This should provide a basis for discussion and knowledge sharing. \nKey Takeaways: \n\nWhy iiRDS and intelligent content is needed to provide a better content delivery\nHow to turn content into an intelligent content graph\nSome use cases that can be covered in this combination\nHow graphRAG solutions benefit from it how the model was built\n\n(informationenergy.org)\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register Now\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/using-iirds-to-publish-intelligent-content-as-a-service-2/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/csm_ie-header-Europe-1-1920x720_a835ba6df9.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250403T160000
DTEND;TZID=Europe/Vienna:20250403T170000
DTSTAMP:20250321T095818Z
CREATED:20250321T095818Z
LAST-MODIFIED:20250321T095818Z
UID:252317-1743696000-1743699600@gws-sso-test.graphwise.ai
SUMMARY:Turning Linguistic Assets into Knowledge for GenAI Applications
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Turning Linguistic Assets into Knowledge for GenAI Applications\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						April 3\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Companies struggle with getting GenAI into production. And well-structured\, semantically enriched data can significantly improve the reliability and control of content creation and also prepare content for AI. \nThis is good news for the localization industry\, because our linguistic assets like terminologies play a vital role in that! On the one hand\, terminology can directly provide guard rails for AI-based content generation and translation and make content more reliable by means of Terminology Augmented Generation (TAG). On the other hand\, terminology can feed data into taxonomies and knowledge graphs\, which in turn can enhance content delivery\, search and retrieval\, or even make recommendations on contents by means of Graph Retrieval Augmented Generation (GraphRAG). \nThis on-demand webinar digs deep into the underlying use cases and technologies and tries to establish the difference but also the immense synergies between terminologies\, taxonomies and knowledge graphs. We will show a lot of live uses cases: \n• What can you do with terminology for linguistic use cases in GenAI. We will show some live examples of Terminology Augmented Translation for terminology checking\, translation but also text generation. And we will show why the TAG approach is more precise than the often-used RAG approach.• Terminology alone can also already help for question answering\, at a similar level as RAG. There are limits to that\, though. But even so\, we will show that terminology is a great basis to build a taxonomy or knowledge graph and integrating the two makes sense.• With knowledge graphs\, you can get much higher accuracy for question answering\, for example with chatbots. But of course you can take knowledge graphs much further for use cases like auto-classification\, recommender systems etc.• The bottom line is: It depends strongly on the use case whether you want to use pure terminology or go deep into knowledge graphs. In either case it makes sense to combine the two to save time and reduce redundancies. \n(gala-global.org) \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				WATCH NOW\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/turning-linguistic-assets-into-knowledge-for-genai-applications-2/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/2019-12-26-itc-rejoint-gala.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250403T160000
DTEND;TZID=Europe/Vienna:20250403T170000
DTSTAMP:20260219T125714Z
CREATED:20250321T095818Z
LAST-MODIFIED:20260219T125714Z
UID:165375-1743696000-1743699600@gws-sso-test.graphwise.ai
SUMMARY:Turning Linguistic Assets into Knowledge for GenAI Applications
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Turning Linguistic Assets into Knowledge for GenAI Applications\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						April 3\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \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				Companies struggle with getting GenAI into production. And well-structured\, semantically enriched data can significantly improve the reliability and control of content creation and also prepare content for AI. \nThis is good news for the localization industry\, because our linguistic assets like terminologies play a vital role in that! On the one hand\, terminology can directly provide guard rails for AI-based content generation and translation and make content more reliable by means of Terminology Augmented Generation (TAG). On the other hand\, terminology can feed data into taxonomies and knowledge graphs\, which in turn can enhance content delivery\, search and retrieval\, or even make recommendations on contents by means of Graph Retrieval Augmented Generation (GraphRAG). \nThis on-demand webinar digs deep into the underlying use cases and technologies and tries to establish the difference but also the immense synergies between terminologies\, taxonomies and knowledge graphs. We will show a lot of live uses cases: \n• What can you do with terminology for linguistic use cases in GenAI. We will show some live examples of Terminology Augmented Translation for terminology checking\, translation but also text generation. And we will show why the TAG approach is more precise than the often-used RAG approach.• Terminology alone can also already help for question answering\, at a similar level as RAG. There are limits to that\, though. But even so\, we will show that terminology is a great basis to build a taxonomy or knowledge graph and integrating the two makes sense.• With knowledge graphs\, you can get much higher accuracy for question answering\, for example with chatbots. But of course you can take knowledge graphs much further for use cases like auto-classification\, recommender systems etc.• The bottom line is: It depends strongly on the use case whether you want to use pure terminology or go deep into knowledge graphs. In either case it makes sense to combine the two to save time and reduce redundancies. \n(gala-global.org) \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				WATCH NOW\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/turning-linguistic-assets-into-knowledge-for-genai-applications/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/2019-12-26-itc-rejoint-gala.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250402T170000
DTEND;TZID=Europe/Vienna:20250402T174000
DTSTAMP:20260225T103244Z
CREATED:20250321T104151Z
LAST-MODIFIED:20260225T103244Z
UID:165398-1743613200-1743615600@gws-sso-test.graphwise.ai
SUMMARY:Talk: Graph-Driven RAG AI Powered by DITA
DESCRIPTION:Live Talk \n			\n				\n				\n				\n				\n				Graph-Driven RAG AI Powered by DITA\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						April 2\, 2025 \n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 8:00 a.m. – 8:40 a.m. PDTNew York | 11:00 a.m. – 11:40 a.m. EDTVienna | 5:00 p.m. – 5:40 p.m. CEST \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                        \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n	\n	\n\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Graph-Driven RAG AI Powered by DITA \nCan generative AI benefit from structured content? What role play knowledge graphs in this? And what does all of that have to do with DITA? After they discovered the shortcomings of vector-based RAG there is a buzz in the industry around knowledge graph-driven retrieval-augmented generation (Graph RAG). This session will put the question of whether and how DITA fits into that equation. Michael Iantosca\, Senior Direct of Knowledge Platforms and Engineering at Avalara\, and Helmut Nagy\, Chief Product Officer of Semantic Web Company will demonstrate a full-scale implementation of a graph-driven RAG based on intelligent structured content. Presented by Iantosca as graph AI theory at CIDM and in Best Practices newsletters just as generative AI blasted into the mainstream\, this session will explain how DITA was used to automate the construction and maintenance of a scalable knowledge graph to drive generative AI applications along with a fully functional advanced neuro-symbolic chatbot that supports what other models lack: the ability to deterministic reasoning and inference. This isn’t your typical show-and-tell session\, but an in-depth review of how the model and solution were built\, the theory behind it\, and how other teams can replicate the same. Several years ago\, some audacious Markdown maven declared that DITA was getting “long in the tooth”. Now\, at the dawn of neuro-symbolic generative AI\, it turns out that DITA was indeed\, the future. \nKey Takeaways: \nLearn about the full story of a GraphRAG integration on top of DITA: \n• Learn how the model was built \n• Learn how the content graph as generated \n• Get an idea about the integration in a GraphRAG solution \n• Learn the theory behind it \n(informationenergy.org) \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register Now\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/graph-driven-rag-ai-powered-by-dita/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/csm_ie-header-Europe-1-1920x720_a835ba6df9.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250402T170000
DTEND;TZID=Europe/Vienna:20250402T174000
DTSTAMP:20250321T104151Z
CREATED:20250321T104151Z
LAST-MODIFIED:20250321T104151Z
UID:252281-1743613200-1743615600@gws-sso-test.graphwise.ai
SUMMARY:Talk: Graph-Driven RAG AI Powered by DITA
DESCRIPTION:Live Talk \n			\n				\n				\n				\n				\n				Graph-Driven RAG AI Powered by DITA\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						April 2\, 2025 \n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 8:00 a.m. – 8:40 a.m. PDTNew York | 11:00 a.m. – 11:40 a.m. EDTVienna | 5:00 p.m. – 5:40 p.m. CEST \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig                                                                                                                                                                                                \n                                                                                                                                \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                                                                        \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n	\n	\n\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Graph-Driven RAG AI Powered by DITA \nCan generative AI benefit from structured content? What role play knowledge graphs in this? And what does all of that have to do with DITA? After they discovered the shortcomings of vector-based RAG there is a buzz in the industry around knowledge graph-driven retrieval-augmented generation (Graph RAG). This session will put the question of whether and how DITA fits into that equation. Michael Iantosca\, Senior Direct of Knowledge Platforms and Engineering at Avalara\, and Helmut Nagy\, Chief Product Officer of Semantic Web Company will demonstrate a full-scale implementation of a graph-driven RAG based on intelligent structured content. Presented by Iantosca as graph AI theory at CIDM and in Best Practices newsletters just as generative AI blasted into the mainstream\, this session will explain how DITA was used to automate the construction and maintenance of a scalable knowledge graph to drive generative AI applications along with a fully functional advanced neuro-symbolic chatbot that supports what other models lack: the ability to deterministic reasoning and inference. This isn’t your typical show-and-tell session\, but an in-depth review of how the model and solution were built\, the theory behind it\, and how other teams can replicate the same. Several years ago\, some audacious Markdown maven declared that DITA was getting “long in the tooth”. Now\, at the dawn of neuro-symbolic generative AI\, it turns out that DITA was indeed\, the future. \nKey Takeaways: \nLearn about the full story of a GraphRAG integration on top of DITA: \n• Learn how the model was built \n• Learn how the content graph as generated \n• Get an idea about the integration in a GraphRAG solution \n• Learn the theory behind it \n(informationenergy.org) \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register Now\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/graph-driven-rag-ai-powered-by-dita-2/
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/jpeg:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/csm_ie-header-Europe-1-1920x720_a835ba6df9.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20250402
DTEND;VALUE=DATE:20250405
DTSTAMP:20250521T150218Z
CREATED:20250321T084737Z
LAST-MODIFIED:20250521T150218Z
UID:165280-1743552000-1743811199@gws-sso-test.graphwise.ai
SUMMARY:Event: Bio-IT World Conference & Expo 2025
DESCRIPTION:Join Ilian Uzunov\, Sales Director Life-sciences\, Pharma\, Healthcare\, STM Publishing at Graphwise\, at the Bio-IT World Conference & Expo\, taking place from April 2-4\, 2025\, in Boston\, MA. The Bio-IT World Conference & Expo is the premier global event showcasing technologies and analytic approaches that solve problems\, accelerate science\, and drive the future of precision medicine. \nQuick Facts of the Bio-IT World Conference & Expo: \n\nThe conferences unites 2\,800+ leaders in life sciences\, pharmaceuticals\, clinical research\, healthcare\, informatics\, and technology\nThe event pushes the boundaries of biomedical research\, drug discovery and development\, and patient outcomes\nThe program features inspiring plenary keynotes\, 200+ educational and technical presentations\, interactive panels\, hands-on symposia\, technical workshops\, unparalleled networking opportunities\, and an exhibit hall showcasing cutting-edge technologies and solutions\n\nDon’t miss this opportunity to join an influential gathering where science and IT converge to advance precision medicine.  \nFor more information and to register for the event\, please visit Bio-IT World Conference & Expo. \n			\n				Register Now
URL:https://gws-sso-test.graphwise.ai/event/bio-it-conference-expo-2025/
LOCATION:Omni Hotel Boston at the Seaport\, 450 Summer St.\, Boston\, MA\, 02210\, United States
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/03/event-card-bio-it-2025-736x475-1.png
END:VEVENT
END:VCALENDAR