As GenAI shifts from prototype to production, a hard truth is surfacing: disconnected data is breaking AI. In this timely conversation, Neo4j CTO Philip Rathle and Eurazeo Managing Director Romain Mombert unpack why graph technology is emerging as essential infrastructure for intelligent, agentic systems. The rise of Chain of Thought reasoning and multi-step AI agents has made the need for structured, contextual knowledge even more urgent. From Klarna’s GenAI rollout, Pfizer’s knowledge graph, to Neo4j’s role in 84 of the Fortune 100, they’ll explore how knowledge graphs and graph-based retrieval give AI the context, memory, and reasoning needed for trustworthy, explainable AI decisions. You’ll hear why top investors are backing companies that use graphs as core to AI-native architectures. And how board-level decisions today are shaping who leads (or lags) in the next wave of GenAI. If you're leading, funding, or building GenAI, these insights will help you separate the signal from the noise.