We encourage you to join us early to collect your name badge, and network over a light breakfast. Agenda starts at 9:30am.

Jean Jacques Putters, RVP EMEA Central, Neo4j

Join us as Neo4j's Sudhir Hasbe explains 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.

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Mercedes-Benz transformed its legacy, SQL-based portfolio management system by moving to Neo4j, while significantly speeding up release cycles. The new graph-powered platform not only improves efficiency and automation but also opens the door for future innovative customer experiences such as attribute-based and LLM-driven search for intelligent, personalized vehicle recommendations. In this follow-up talk, we will learn about the current progress and some lessons learned along the way. 

The Contextual Operations Graph, built on Neo4j, brings together previously disconnected production data into a single, trusted source of insight. By transforming information from systems such as SAP into a connected, contextualized knowledge layer, it significantly reduces manual effort and improves data consistency. This graph‑driven foundation enables standardized API access, faster analytics, and more informed decision‑making across the production site - ultimately supporting operational efficiency, scalability, and data‑driven innovation.

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Siemens Healthineers presents its Global Component Certification (GCC) solution, a Neo4j graph-based platform to address rapidly evolving, country-specific component regulations in India. By transforming fragmented regulatory, product, and component data into an interconnected knowledge graph, GCC provides a single source of truth for compliance and global market readiness.

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An insider look at the latest Neo4j innovations enabling relationship-driven intelligence at scale. Learn about new features and enhancements that make Neo4j essential for developers building interconnected data apps and AI.

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Q&A with all morning speakers

1. Hands-On Workshop: Go from Zero to Production with Neo4j, Aura, and AI Agents
   

   In this hands-on workshop, you’ll build practical graph skills from the ground up. Learn how to model and load relational data into Neo4j, turn it into a working knowledge graph, and visualize key relationships and metrics. Then, put it all into action by creating an AI agent on Neo4j Aura—so you can query, explore, and converse with your data to uncover insights and hidden connections.
   
   No prior graph experience required; you’ll leave with a clear path to taking graph-powered applications into production.

   
   
2. Hands-On GraphRAG Workshop: Build 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.
   
   

   In this workshop, you’ll explore detailed code examples to kickstart your journey with GenAI and graphs. You’ll leave with practical skills you can immediately apply to your own projects.