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Explore how knowledge graphs serve as the foundational architecture for enterprise GenAI applications in this conference talk featuring insights from Pfizer and Neo4j experts. Learn to bridge the critical gap between structured and unstructured datasets across organizations by implementing knowledge graphs as natural representations of connected data. Discover strategies for building organizational support for connected data architectures that fuel current and future GenAI applications. Understand how GraphRAG enables higher accuracy and more explainable retrieval compared to traditional approaches. Gain practical insights into connecting disparate data sources within enterprise environments and establishing the data infrastructure necessary for successful GenAI deployment. Master the techniques for creating organizational buy-in for knowledge graph implementations that will serve as the backbone for your company's AI initiatives. This leadership-focused session provides strategic guidance for executives and technical leaders looking to establish robust data foundations for their GenAI programs.
Syllabus
Anchoring Enterprise GenAI with Knowledge Graphs: Jonathan Lowe (Pfizer), Stephen Chin (Neo4j)
Taught by
AI Engineer