AI is reshaping how enterprises build intelligent systems, but most data platforms weren’t designed to support connected reasoning. That’s where Neo4j Graph Intelligence for Microsoft Fabric comes in. With AI graph modeling and Text2Cypher capabilities, you can automatically generate and evolve graph schemas from existing data and ask complex relationship questions in natural language. And because graph preserve real-world connections, they provide the structural foundation that modern AI systems rely on for reasoning, recommendations, and decision support.

Join us for an interactive session featuring Richin Jain, Microsoft Program Manager, to explore how Neo4j Graph Intelligence integrates seamlessly with Microsoft Fabric. You’ll see how combining Neo4j’s graph power with Fabric’s unified data lakehouse allows you to move beyond static data and start modeling the complex dependencies of the modern enterprise.

We will lead with a Q&A to answer your architecture and integration questions, followed by a Digital Twin demonstration. You'll see firsthand how graph algorithms can map physical and logical assets to predict system behavior and optimize performance directly within the Fabric ecosystem.

You’ll learn:

• How to leverage Neo4j and Microsoft Fabric to surface hidden patterns across siloed data.

• How to operationalize Digital Twin algorithms to simulate complex environments and asset dependencies.

• Architectural best practices for integrating graph intelligence into your Fabric OneLake workflows.

• Live insights from Microsoft and Neo4j experts on the future of unified data analytics.

Join our team of experts to see how graph-powered insights can transform your data strategy—without leaving the Microsoft Fabric environment.