Thank you for joining Neo4j and AWS for the exclusive half-day event exploring how knowledge graphs make AI more accurate, transparent, and business-ready. You heard directly from industry leaders, networked over lunch, and took part in an immersive GraphRAG session and walk away with practical ways to build smarter GenAI applications.
Emil Eifrem, Founder & CEO at Neo4j
Brad Bebee, Director of Amazon Neptune at AWS
Generative AI is changing how businesses use data, but data alone is not enough. To make AI work for the enterprise, you need knowledge, and that means transforming data into connected, contextual insights. Every organization needs a knowledge strategy and a knowledge layer to ensure AI delivers accurate, trusted, and business-relevant results.
In this keynote, Emil Eifrem, Founder & CEO at Neo4j, and Brad Bebee, Director of Product for Amazon Neptune at AWS, will explain how knowledge graphs provide the foundation for this transformation. They’ll show how graph intelligence helps enterprises:
• Reduce the risk of unreliable AI outputs
• Unlock value by connecting data across silos+
• Build transparency and governance into AI systems
• Deliver insights that reflect real-world business context
Fireside Chat: The Future of Graph Intelligence
Sudhir Hasbe, President & Chief Product Officer, Neo4j
Sampathkumar, Bhaskar, Principal AI Solutions Architect, Electronic Arts
In this fireside chat, you'll hear how EA is using knowledge graphs to break down data silos, solve complex challenges, and get enterprise data AI-ready.
While GenAI offers tremendous potential, it often struggles with hallucinations and limited domain knowledge. Graph-powered Retrieval Augmented Generation (GraphRAG) addresses these challenges by combining vector search with knowledge graphs and advanced data science techniques. The result: enhanced context, deeper semantic understanding, personalization, and real-time updates.
In this two-hour immersive session, you’ll work through detailed code examples to kickstart your journey with GenAI and graph technology. Learn how to implement GraphRAG to transform your structured and unstructured data into a knowledge graph of entities and relationships, providing your GenAI and agentic apps with the context they need to deliver real business value. Guided by experts from AWS and Neo4j, you’ll leave with practical skills you can immediately apply to your own projects.
