Unlock AI’s Potential with Knowledge Graphs and Graph RAG

Outdated, fragmented data systems are holding organizations back from unlocking AI’s full potential. Providing accurate, context-driven insights has become essential for staying competitive. Without a scalable, AI-ready knowledge foundation, businesses risk stagnation in an era of rapid innovation. This session explores advancements in knowledge graph automation and Graph Retrieval Augmented Generation (RAG). Discover how the "flywheel" model enables AI to construct graph structures with human oversight for accuracy, how SHACL ensures data consistency, and how Graph RAG uses large language models (LLMs) to turn natural language into actionable, trustworthy insights. Join Alan Morrison, Advanced Data Technologies Consultant and Writer to explore success stories from Ernst & Young, Microsoft, and Roche and learn strategies to scale your AI-ready knowledge infrastructure. Key Takeaways: - Understand how knowledge graphs enable scalable, AI-ready data foundations. - Learn how Graph RAG combines LLMs and graph databases for trustworthy insights. - Explore the "flywheel" model for AI-human collaboration in data validation. - Gain actionable strategies to future-proof your AI capabilities.