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DTSTART;VALUE=DATE:20250402
DTEND;VALUE=DATE:20250405
DTSTAMP:20260527T063830
CREATED:20250321T084737Z
LAST-MODIFIED:20250521T150218Z
UID:165280-1743552000-1743811199@graphwise.ai
SUMMARY:Event: Bio-IT World Conference & Expo 2025
DESCRIPTION:Join Ilian Uzunov\, Sales Director Life-sciences\, Pharma\, Healthcare\, STM Publishing at Graphwise\, at the Bio-IT World Conference & Expo\, taking place from April 2-4\, 2025\, in Boston\, MA. The Bio-IT World Conference & Expo is the premier global event showcasing technologies and analytic approaches that solve problems\, accelerate science\, and drive the future of precision medicine. \nQuick Facts of the Bio-IT World Conference & Expo: \n\nThe conferences unites 2\,800+ leaders in life sciences\, pharmaceuticals\, clinical research\, healthcare\, informatics\, and technology\nThe event pushes the boundaries of biomedical research\, drug discovery and development\, and patient outcomes\nThe program features inspiring plenary keynotes\, 200+ educational and technical presentations\, interactive panels\, hands-on symposia\, technical workshops\, unparalleled networking opportunities\, and an exhibit hall showcasing cutting-edge technologies and solutions\n\nDon’t miss this opportunity to join an influential gathering where science and IT converge to advance precision medicine.  \nFor more information and to register for the event\, please visit Bio-IT World Conference & Expo. \n			\n				Register Now
URL:https://graphwise.ai/event/bio-it-conference-expo-2025/
LOCATION:Omni Hotel Boston at the Seaport\, 450 Summer St.\, Boston\, MA\, 02210\, United States
CATEGORIES:Event
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DTSTART;TZID=Europe/Vienna:20250402T170000
DTEND;TZID=Europe/Vienna:20250402T174000
DTSTAMP:20260527T063830
CREATED:20250321T104151Z
LAST-MODIFIED:20260225T103244Z
UID:165398-1743613200-1743615600@graphwise.ai
SUMMARY:Talk: Graph-Driven RAG AI Powered by DITA
DESCRIPTION:Live Talk \n			\n				\n				\n				\n				\n				Graph-Driven RAG AI Powered by DITA\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						April 2\, 2025 \n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						San Francisco | 8:00 a.m. – 8:40 a.m. PDTNew York | 11:00 a.m. – 11:40 a.m. EDTVienna | 5:00 p.m. – 5:40 p.m. CEST \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Andreas Blumauer                                                                                                                                                                                                \n                                                                                                                                Senior VP Growth\, Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n	\n	\n\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\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                                                                Andreas Blumauer                                                                Senior VP Growth\, Graphwise                                                                                                                                          \n                                                                                                                                                    Senior Vice President of Growth at Graphwise. As the founder of Semantic Web Company (SWC) and creator of the PoolParty Semantic Platform\, Andreas has been a driving force in advancing semantic AI\, knowledge graph technologies\, and RAG solutions. \nWith more than 20 years of experience\, he has partnered with over 200 organizations worldwide to design and implement cutting-edge AI\, semantic search\, and knowledge graph solutions — empowering enterprises to unlock the full potential of their data through intelligent integration\, modeling\, and reasoning. In recent years\, his focus has expanded to developing AI-powered ESG solutions that help companies and investors make more informed\, sustainable decisions.
URL:https://graphwise.ai/event/graph-driven-rag-ai-powered-by-dita/
CATEGORIES:Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250403T160000
DTEND;TZID=Europe/Vienna:20250403T170000
DTSTAMP:20260527T063830
CREATED:20250321T095818Z
LAST-MODIFIED:20260219T125714Z
UID:165375-1743696000-1743699600@graphwise.ai
SUMMARY:Turning Linguistic Assets into Knowledge for GenAI Applications
DESCRIPTION:On-Demand WEBINAR \n			\n				\n				\n				\n				\n				Turning Linguistic Assets into Knowledge for GenAI Applications\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						April 3\, 2025 \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Andreas Blumauer                                                                                                                                                                                                \n                                                                                                                                Senior VP Growth\, Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n	\n	\n\n				\n			\n				\n				\n				\n				\n				Fill out the form to watch this webinar\n			\n				\n				\n				\n				\n				\n			\n				\n				\n			\n		\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				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                                                                Andreas Blumauer                                                                Senior VP Growth\, Graphwise                                                                                                                                          \n                                                                                                                                                    Senior Vice President of Growth at Graphwise. As the founder of Semantic Web Company (SWC) and creator of the PoolParty Semantic Platform\, Andreas has been a driving force in advancing semantic AI\, knowledge graph technologies\, and RAG solutions. \nWith more than 20 years of experience\, he has partnered with over 200 organizations worldwide to design and implement cutting-edge AI\, semantic search\, and knowledge graph solutions — empowering enterprises to unlock the full potential of their data through intelligent integration\, modeling\, and reasoning. In recent years\, his focus has expanded to developing AI-powered ESG solutions that help companies and investors make more informed\, sustainable decisions.
URL:https://graphwise.ai/event/turning-linguistic-assets-into-knowledge-for-genai-applications/
CATEGORIES:On-demand Webinar
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BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250404T093000
DTEND;TZID=Europe/Vienna:20250404T103000
DTSTAMP:20260527T063830
CREATED:20250321T110247Z
LAST-MODIFIED:20260225T103200Z
UID:165420-1743759000-1743762600@graphwise.ai
SUMMARY:Talk: Using iiRDS to publish Intelligent Content as a Service
DESCRIPTION:Live TALK\n			\n				\n				\n				\n				\n				Using iiRDs to publish intelligent Content as a Service\n			\n				\n				\n				\n				\n				Use cases and discussion\n			\n				\n				\n				\n				\n				\n					\n					\n						\n						April 4\, 2025\n					\n				\n			\n				\n				\n				\n				\n				\n					}\n					\n						\n						Vienna | 9:30 a.m. – 10:30 a.m. CEST\n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n\n\n\n\n	\n		\n		\n      		\n	            \n                \n                    \n\n                    \n                    \n                                                \n                        \n                                                                                                                                    \n                                                                                                                        \n                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    \n                                                                                                                    \n                                                                                                                                                                                    \n                                                                    \n                                                                                                                                                                                                                                                                                                                                                                                                                            \n                                                                                                                                    \n                                                            \n                                                            \n                                                                Andreas Blumauer                                                                                                                                                                                                \n                                                                                                                                Senior VP Growth\, Graphwise \n                                                                                                                            \n                                                                                                                                                                                                                        \n                                                                                                                                                                                                                                    \n                                                                            \n                                                                                                                                                                                    \n                        \n                                            \n                    \n                    \n                \n                            \n        \n      		\n		\n		\n		\n	\n	\n\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\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                                                                Andreas Blumauer                                                                Senior VP Growth\, Graphwise                                                                                                                                          \n                                                                                                                                                    Senior Vice President of Growth at Graphwise. As the founder of Semantic Web Company (SWC) and creator of the PoolParty Semantic Platform\, Andreas has been a driving force in advancing semantic AI\, knowledge graph technologies\, and RAG solutions. \nWith more than 20 years of experience\, he has partnered with over 200 organizations worldwide to design and implement cutting-edge AI\, semantic search\, and knowledge graph solutions — empowering enterprises to unlock the full potential of their data through intelligent integration\, modeling\, and reasoning. In recent years\, his focus has expanded to developing AI-powered ESG solutions that help companies and investors make more informed\, sustainable decisions.
URL:https://graphwise.ai/event/using-iirds-to-publish-intelligent-content-as-a-service/
CATEGORIES:Webinar
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