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DTSTART;TZID=Europe/Vienna:20250313T170000
DTEND;TZID=Europe/Vienna:20250313T200000
DTSTAMP:20250521T150250Z
CREATED:20250227T125458Z
LAST-MODIFIED:20250521T150250Z
UID:164544-1741885200-1741896000@gws-sso-test.graphwise.ai
SUMMARY:Knowledge Graphs & AI in Healthcare: Paris Meetup
DESCRIPTION:Join us for an exclusive in-person meetup in Paris\, bringing together industry leaders and experts to explore how knowledge graphs and AI are transforming the healthcare and life sciences sectors. This event will feature insightful presentations\, real-world case studies\, and networking opportunities with top professionals in data science\, AI\, and healthcare informatics. \nWhy Attend?\n\nGain insights into real-world applications of knowledge graphs and AI in healthcare.\nLearn from leading experts on data interoperability\, semantic modeling\, and AI-driven knowledge extraction.\nNetwork with peers over drinks and a cocktail reception.\n\nAgenda\n4:30 PM – 5:00 PM | Arrival\, Drinks & NetworkingConnect with industry peers in a relaxed setting before the presentations begin. \n5:00 PM – 7:00 PM | Expert Presentations \n1. Contextualizing R&D Data at Servier: The In-Vivo Use Case with Ontologies and LLMs\nSpeakers: Christopher Arnoll\, Data Architect & Joffrey Cesbron\, Data Engineer – ServierOverview: Learn how Servier is using semantic modeling and LLM-based platforms to improve knowledge sharing across R&D departments and enhance data accessibility. \n2. Orchestrating Data Semantics for Healthcare Professions\nSpeaker: Guillaume Rachez\, Head of Product – Perfect MemoryOverview: Discover how Perfect Memory’s Knowledge Operating System is tackling the challenge of data heterogeneity in healthcare to improve efficiency\, quality\, and trust in data usage. \n3. Multi-Terminology Server and Semantic Interoperability in Healthcare\nSpeakers: Thierry Dart\, Medical Director\, and Yann Briand\, Pharmacist Expert in Semantics – ANSOverview: Explore how ANS developed a multi-terminology server using data graphs to enhance interoperability in healthcare information systems. \n4. Structuring Psychiatric Data with Knowledge Graphs\nSpeaker: Amel Raboudi\, Data Project Manager – FealinxOverview: See how knowledge graphs are transforming psychiatric data management\, improving traceability\, and enabling better clinical insights. \n7:00 PM – 8:00 PM | Cocktail & NetworkingWrap up the evening with drinks and discussions\, expanding your professional network in the field of knowledge graphs and AI. \nWho Should I Attend?\n\nHealthcare and life sciences professionals working with data.\nAI and data science experts focused on semantic technologies.\nResearchers and engineers interested in knowledge graphs and interoperability.\n\nLimited spots available – secure your seat today! \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/knowledge-graphs-ai-healthcare-paris-meetup/
LOCATION:BOPE Paris – Petits Hôtels\, 13 Rue des Petits Hôtels\, 75010 Paris\, BOPE Paris - Petits Hôtels\, 13 Rue des Petits Hôtels\, Paris\, 75010\, France
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/02/paris-meetup-healthcare.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250313T170000
DTEND;TZID=Europe/Vienna:20250313T200000
DTSTAMP:20250227T125458Z
CREATED:20250227T125458Z
LAST-MODIFIED:20250227T125458Z
UID:252279-1741885200-1741896000@gws-sso-test.graphwise.ai
SUMMARY:Knowledge Graphs & AI in Healthcare: Paris Meetup
DESCRIPTION:Join us for an exclusive in-person meetup in Paris\, bringing together industry leaders and experts to explore how knowledge graphs and AI are transforming the healthcare and life sciences sectors. This event will feature insightful presentations\, real-world case studies\, and networking opportunities with top professionals in data science\, AI\, and healthcare informatics. \nWhy Attend?\n\nGain insights into real-world applications of knowledge graphs and AI in healthcare.\nLearn from leading experts on data interoperability\, semantic modeling\, and AI-driven knowledge extraction.\nNetwork with peers over drinks and a cocktail reception.\n\nAgenda\n4:30 PM – 5:00 PM | Arrival\, Drinks & NetworkingConnect with industry peers in a relaxed setting before the presentations begin. \n5:00 PM – 7:00 PM | Expert Presentations \n1. Contextualizing R&D Data at Servier: The In-Vivo Use Case with Ontologies and LLMs\nSpeakers: Christopher Arnoll\, Data Architect & Joffrey Cesbron\, Data Engineer – ServierOverview: Learn how Servier is using semantic modeling and LLM-based platforms to improve knowledge sharing across R&D departments and enhance data accessibility. \n2. Orchestrating Data Semantics for Healthcare Professions\nSpeaker: Guillaume Rachez\, Head of Product – Perfect MemoryOverview: Discover how Perfect Memory’s Knowledge Operating System is tackling the challenge of data heterogeneity in healthcare to improve efficiency\, quality\, and trust in data usage. \n3. Multi-Terminology Server and Semantic Interoperability in Healthcare\nSpeakers: Thierry Dart\, Medical Director\, and Yann Briand\, Pharmacist Expert in Semantics – ANSOverview: Explore how ANS developed a multi-terminology server using data graphs to enhance interoperability in healthcare information systems. \n4. Structuring Psychiatric Data with Knowledge Graphs\nSpeaker: Amel Raboudi\, Data Project Manager – FealinxOverview: See how knowledge graphs are transforming psychiatric data management\, improving traceability\, and enabling better clinical insights. \n7:00 PM – 8:00 PM | Cocktail & NetworkingWrap up the evening with drinks and discussions\, expanding your professional network in the field of knowledge graphs and AI. \nWho Should I Attend?\n\nHealthcare and life sciences professionals working with data.\nAI and data science experts focused on semantic technologies.\nResearchers and engineers interested in knowledge graphs and interoperability.\n\nLimited spots available – secure your seat today! \n			\n				register now
URL:https://gws-sso-test.graphwise.ai/event/knowledge-graphs-ai-healthcare-paris-meetup-2/
LOCATION:BOPE Paris – Petits Hôtels\, 13 Rue des Petits Hôtels\, 75010 Paris\, BOPE Paris - Petits Hôtels\, 13 Rue des Petits Hôtels\, Paris\, 75010\, France
CATEGORIES:Event
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/02/paris-meetup-healthcare.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250313T200000
DTEND;TZID=Europe/Vienna:20250313T210000
DTSTAMP:20260219T130731Z
CREATED:20250226T105258Z
LAST-MODIFIED:20260219T130731Z
UID:164413-1741896000-1741899600@gws-sso-test.graphwise.ai
SUMMARY:Empowering LLMs with a Semantic Layer
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Empowering LLMs with a Semantic Layer\n			\n				\n				\n				\n				\n				Harnessing the Power of a Semantic Layer to Elevate your LLM \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						March 13\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                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				Unlocking the Secrets to Teaching your LLM \nA semantic layer for Large Language Models (LLMs) provides a structured framework for interpreting and organizing information\, enabling more contextually accurate and meaningful interactions. By integrating semantic layers\, LLMs can better understand complex relationships among concepts\, leading to improved reasoning capabilities and more nuanced responses across a wide range of business applications. \nWatch now to be part of this insightful roundtable with Graphwise and Vertesia. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				WATCH NOW\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/empowering-llm-semantic-layer/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/02/EmpoweringLLMsSemanticLayer_March13_2025.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250313T200000
DTEND;TZID=Europe/Vienna:20250313T210000
DTSTAMP:20250226T105258Z
CREATED:20250226T105258Z
LAST-MODIFIED:20250226T105258Z
UID:252334-1741896000-1741899600@gws-sso-test.graphwise.ai
SUMMARY:Empowering LLMs with a Semantic Layer
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Empowering LLMs with a Semantic Layer\n			\n				\n				\n				\n				\n				Harnessing the Power of a Semantic Layer to Elevate your LLM \n			\n				\n				\n				\n				\n				\n					\n					\n						\n						March 13\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                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				Unlocking the Secrets to Teaching your LLM \nA semantic layer for Large Language Models (LLMs) provides a structured framework for interpreting and organizing information\, enabling more contextually accurate and meaningful interactions. By integrating semantic layers\, LLMs can better understand complex relationships among concepts\, leading to improved reasoning capabilities and more nuanced responses across a wide range of business applications. \nWatch now to be part of this insightful roundtable with Graphwise and Vertesia. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				WATCH NOW\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n                \n                    \n\n                    \n                    \n                                                                                    Speaker\n                                                                            \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Susan Härtig
URL:https://gws-sso-test.graphwise.ai/event/empowering-llm-semantic-layer-2/
CATEGORIES:On-demand Webinar
ATTACH;FMTTYPE=image/png:https://gws-sso-test.graphwise.ai/wp-content/uploads/2025/02/EmpoweringLLMsSemanticLayer_March13_2025.png
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