London

We encourage you to join us early to collect your badge and network over a light breakfast. Program starts at 9:30 sharp.

Emil Eifrem, CEO and Co-Founder, Neo4j

Hear Emil explain how graph reveals the natural connections in your business data and provides the context AI needs to deliver real results. See how leading organizations turn enterprise knowledge into competitive advantage, powering intelligent decisions and driving business transformation.

Afraz Jaffri, Snr Director Analyst, Gartner

Kostis Manolitzas, Group Head of Data Science Innovation & AI, Sky

When is a problem truly a ‘graph problem’? And how do you prove the value quickly enough to earn leadership buy-in? Kostis Manolitzas, Group Head of Data Science Innovation & AI at Sky, shares how his team built a graph center of excellence to answer exactly those questions. From starting small with measurable, high-ROI use cases — like boosting fraud model accuracy — to exploring new applications in customer configuration, Kostis will walk through the frameworks, experiments, and lessons learned that help Sky decide when and how to use Neo4j. Attendees will hear practical guidance on demonstrating business value early, engaging stakeholders across the enterprise, and laying the foundation for AI and machine learning initiatives enriched by graph technology.

Ben Clim, Enterprise Solutions Architect, Convex Insurance

Convex Insurance needed a way to see and act on its data without waiting minutes for complex joins or struggling with queries that relational systems couldn’t resolve. With Neo4j, the team built an ontology that connects submissions, risks, contracts, and counterparties into a living model of the business. Searches that once took minutes now return 15,000 results in milliseconds.

That model became the basis for a broader shift. Convex now uses graph as the anchor for a hybrid architecture where multiple data stores and AI services can interoperate. In this session, Enterprise Solutions Architect Ben Clim explains how a tabular past gave way to a graph-first approach: one that streamlines underwriting, strengthens traceability, and opens new paths for applied AI.

Q&A Panel with all our guest speakers.

Sudhir Hasbe, President, Technology and Chief Product Officer, Neo4j

Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.

See the power of Neo4j in action and join one of our two hands-on interactive workshops. There’s something for everyone, whether you’re new to the world of graphs, or a little more experienced. Bring your laptop and join one of these:

Hands-On Fundamentals Workshop: From Zero to Scaling a Graph-Backed App

Join this hands-on workshop led by Neo4j experts guiding you to systematically uncover contextual intelligence. Working with a real-life dataset, we’ll build a graph solution step by step—covering the basics of graph data modeling, running queries, and visualizing data. We will also learn how to set up and use clustering for high availability and read scalability, and conclude with a highly scalable Infinigraph implementation of your graph.

Hands-On GraphRAG Workshop: Building Smarter GenAI Apps with Knowledge Graphs

While GenAI offers great potential, it faces challenges with hallucination and limited domain knowledge. Graph-powered retrieval augmented generation (GraphRAG) helps overcome these challenges by integrating vector search with knowledge graphs and data science techniques. This approach improves context, enhances semantic understanding, enables personalization, and facilitates real-time updates.

Finish the day with networking over drinks and snacks with your peers and graph community. Close at 18:30