Connected data is becoming a core competitive advantage in AI, and Neo4j is helping organizations harness it to deliver intelligent experiences at scale. In this episode, Neha Bajwa, Vice President of Product Marketing at Neo4j, explains how graph technology transforms the way companies manage data, derive insights, and operationalize AI by contextualizing information through relationships. Unlike traditional databases, graph databases reveal hidden patterns in highly connected data, making them ideal for modern AI systems that demand rapid, relevant, and explainable access to organizational knowledge. You’ll hear how cities like London use graph-powered digital twins to reduce traffic congestion, and how companies are cutting cybersecurity response times with graph-based detection. Neha also breaks down the rise of GraphRAG—combining Retrieval-Augmented Generation with graph databases to ground generative AI models in structured, connected knowledge for higher accuracy and fewer hallucinations. This approach enables organizations to unify data across disconnected systems without heavy migrations, creating explainable AI critical for regulated industries. She shares how Klarna consolidated 1,200 applications into a single platform using Neo4j’s knowledge graph and agentic AI, building a scalable foundation for continuous innovation. As industries push for AI with real returns, the focus has shifted from asking what AI can do to how quickly it can drive business outcomes with a data infrastructure that supports it. Tune in for a practical, clear look at how Neo4j is helping organizations build connected, AI-ready data strategies to accelerate adoption and deliver real impact. 00:00 Intro 00:31 Shaping the Graph Narrative for AI 02:10 Real-World Graph Use: Transport for London 05:10 Why GraphRAG Stands Out for GenAI 08:30 Klarna's Agentic AI Transformation 10:00 Knowledge Graphs for AI Readiness 14:10 Avoiding Jargon in Advanced AI Conversations 16:30 Shifts in Executive AI Conversations 17:50 Differentiating Neo4j Without Hype 19:50 Explaining Neo4j with Everyday Analogies 21:00 Neo4j’s 2030 Aspiration in GenAI and Connected Data Subscribe now to Intel on YouTube: https://intel.ly/3IX1bN2 About Intel: Intel, the world leader in silicon innovation, develops technologies, products and initiatives to continually advance how people work and live. Founded in 1968 to build semiconductor memory products, Intel introduced the world's first microprocessor in 1971. This decade, our mission is to create and extend computing technology to connect and enrich the lives of every person on Earth. Connect with Intel: Visit Intel WEBSITE: https://intel.ly/Intel Follow Intel on X: https://intel.ly/Twitter Follow Intel on INSTAGRAM: https://intel.ly/Instagram Follow Intel on LINKEDIN: https://intel.ly/LinkedIn Follow Intel on TIKTOK: https://intel.ly/TikTok Graph Technology Meets GenAI: A Neo4j Perspective | Intel https://www.youtube.com/intel

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