This week on GAEA Talks Live from HumanX, Graeme Scott sits down with Emil Eifrem - co-founder and CEO of Neo4j, the creator of the world's leading graph database, and one of the architects of the knowledge graph movement that is now powering explainable AI inside governments, banks and Fortune 500 enterprises.Emil started Neo4j more than twenty years ago after his team hit the limits of tabular databases while building a content management system in Sweden. Their prototype graph engine was a thousand to a million times faster at traversing relationships. He has since built Neo4j into the category-defining graph database, used by organisations from one of the world's top five banks to every major research institution working on AI. He is a veteran of the Swedish open source community and one of the most cited voices in the industry on explainability and trust in AI.In this episode, recorded live at HumanX 2026 in San Francisco, Emil takes us inside the single biggest bet in enterprise AI right now - that knowledge graphs will become a default box in every serious AI architecture. He explains why vector search alone gives you similarity with no context, why mechanistic interpretability only solves half of the explainability problem, and why rag without a knowledge graph is a dead end for mission-critical decisions.What you'll take away from this conversation:- Why the last fifty years of tabular databases cannot model the real shape of enterprise data, and why graphs can- The "empirical versus subjective" framework for deciding what AI can and cannot be trusted to own- Why every AI decision still needs an accountable human - and why that makes explainability the critical constraint- How knowledge graphs complete the explainability story that mechanistic interpretability starts- Why vector similarity scores without context are dangerous for rag retrieval in the enterprise- The real lesson from the surgeon-and-hospital insurance rabbit hole - accountability has to be architected in from day one- Why platform shifts are the only moment database companies ever get built - and why the AI shift is the biggest yet- How one top five global bank went from three percent graph adoption pre-AI to twenty percent today- The Goldilocks rule for enterprise AI - don't start with self-driving or with trivia, pick the meaningful middle- Why "AI ready from a data perspective" is the single biggest five-year survival question for enterprises- Let the business problem drag the AI, and let the AI drag in the data - Emil's single best piece of adviceAbout Emil Eifrem:Emil Eifrem is the co-founder and CEO of Neo4j, the company behind the world's leading graph database. Born and raised in Sweden, he started programming as a child, became CTO of a Swedish startup at twenty, and co-invented the property graph model that is now the foundation of the entire graph database category. Neo4j is used by seventy five percent of the Fortune 100 and powers some of the most sensitive AI, compliance, fraud and intelligence workloads in the world.GAEA Talks is the enterprise AI podcast for leaders navigating the age of artificial intelligence. Subscribe for weekly conversations with the people shaping the future of business, technology and society.Emil Eifrem on LinkedIn: https://www.linkedin.com/in/emilefremNeo4j: https://neo4j.comHumanX: https://www.humanx.coGAEA AI: https://gaealgm.ai#AI #ArtificialIntelligence #GAEATalks #GAEATalksLive #HumanX #HumanX2026 #EnterpriseAI #Neo4j #KnowledgeGraph #GraphDatabase #ExplainableAI #RAG #LLMs #AIReliability #ResponsibleAI #AIGovernance #AIPodcast #GAEAAI