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X-WR-CALDESC:Events for Graphwise
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DTSTART;VALUE=DATE:20250402
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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
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BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250402T000000
DTEND;TZID=Europe/Vienna:20250404T235959
DTSTAMP:20250321T084737Z
CREATED:20250321T084737Z
LAST-MODIFIED:20250321T084737Z
UID:252280-1743552000-1743811199@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-2025-2/
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
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
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