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  • Discover the next major trend in AI

    Techniques that make AI models robust, explainable and fair with accurate predictions with examples & use cases from industry.

  • Graphwise for M365

    Step into the future of metadata management as PoolParty for SharePoint evolves into the innovative Graphwise for Microsoft 365.

  • Gartner Data & Analytics Summit

    Gaylord Palms Resort & Convention Center 6000 W. Osceola Parkway, Kissimmee, FL, United States

    Join us at the Gartner Data & Analytics Summit from March 3-5, 2025 in Orlando, FL! Discover the ultimate hub for data analytics and AI pioneers to explore cutting-edge advancements in data management, emerging trends, governance, and architecture, all designed to propel your organization into the future.

  • Knowledge Graphs & AI in Healthcare: Paris Meetup

    BOPE Paris - Petits Hôtels, 13 Rue des Petits Hôtels, 75010 Paris BOPE Paris - Petits Hôtels, 13 Rue des Petits Hôtels, Paris, France

    Join the Graphwise team for presentations on knowledge graphs, artificial intelligence, and data interoperability in the healthcare sector.

  • Empowering LLMs with a Semantic Layer

    Learn how integrating semantic layers into LLMs can foster a better understanding of complex relationships among concepts.

  • Event: Bio-IT World Conference & Expo 2025

    Omni Hotel Boston at the Seaport 450 Summer St., Boston, MA, United States

    Join us at the Bio-IT World Conference & Expo 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.

  • Talk: Graph-Driven RAG AI Powered by DITA

    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.