Transform Your Enterprise with Graph and GenAI
Join us in Munich for a full day of insights, real-world examples, and hands-on learning about how to use graph technology to build AI-ready data foundations, deploy production-grade GenAI applications, and drive transformation.
Drive better decisions with insights from the seven core enterprise graphs
Move AI pilots into production with AI-ready data
Provide accurate, explainable responses with GraphRAG-powered applications
Event Highlights

See how organizations are successfully deploying graph and AI solutions

Get hands-on experience in technical workshops

Preview Neo4j’s product vision and roadmap

Connect with peers solving similar challenges
Agenda
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09:30
Welcome & Introduction
We encourage you to join us early to collect your name badge, and network over a light breakfast. Agenda starts at 9:30am.
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09:40
Keynote | Graphs + AI: Your Enterprise Advantage
Neha Bajwa, VP of Product Marketing, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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10:10
Building a Global Backbone for Price Maintenance Data at BMW Group
João Guedes, Product Visionary at Critical TechWorks, a BMW Group Company
Discover how BMW Group uses Neo4j to create a backbone for their price maintenance data across multiple markets. In this session João Guedes will take you through BMW’s journey from relational databases to graph technology. Learn how Neo4j serves as a cache layer for various pricing applications without owning the product data, and how BMW scaled from supporting a handful of markets to numerous regions efficiently. João will discuss their transition from Neo4j Community Edition to Enterprise for enhanced reliability, their deployment on AWS, and innovative infrastructure management strategies.
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10:35
AI-Powered Engineering Copilot: Leveraging Graph Technology for Optimized E/E & Software Development
Benjamin Becker, Technical Lead SW Architecture, BMW AG
Christoph Neumeier, Senior Manager – Automotive, Sopra Steria SEIn a joint Proof of Concept (PoC) between BMW and Sopra Steria, an AI-driven Engineering Copilot was developed using Neo4j graph technology to enhance the management and analysis of complex E/E and software development data. By integrating Retrieval-Augmented Generation (RAG) with a graph database, the Copilot streamlines development processes, improves traceability, and enables more informed decision-making. This session will showcase how the Copilot revolutionizes functional safety, requirements management, and system modeling through an advanced knowledge graph architecture.
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11:00
Morning Break and Networking
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11:30
Understanding Threats By Visualizing Patterns
Gregor Bierhals, Go-To-Market Manager at rola Security Solutions GmbH (Member of T-Systems International GmbH)
Working with governmental agencies in the intelligence sector, military, and law enforcement, rola is creating solutions designed to analyze, identify and counter threats. In our presentation we will show how rola enables its clients to recognize threat patterns and motivations by utilizing Neo4j graphs to visualize cyber threat actors, their capabilities, and associated events.
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12:00
Neo4j Product Vision and Roadmap
Michael Hunger, VP of Product Innovation, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
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12:45
Panel and Q&A
Q&A Panel with all our guest speakers.
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13:10
Lunch
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14:15
Workshops
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 Workshop: Create a Graph-Backed App from Scratch
Join this hands-on workshop led by Neo4j experts guiding you to systematically uncover contextual intelligence. Using a real-life dataset we will build step-by-step a graph solution; from building the graph data model to running queries and data visualization. The approach will be applicable across multiple use cases and industries.
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.
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.
There will be an informal Coffee Break at 15:30.
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17:00
Networking Drinks
Finish the day with networking over drinks and snacks with your peers and graph community. Close at 17:30.
Logistics: The venue is wheelchair accessible. Paid parking is available (“Anfahrtsbeschreibung“).
Featured Speakers

Neha Bajwa
VP, Product Marketing | Neo4j

Michael Hunger
VP of Product Innovation | Neo4j

Gregor Bierhals
Go-To-Market Manager | rola Security Solutions GmbH

João Guedes
Product Visionary | Critical TechWorks, a BMW Group Company

Benjamin Becker
Technical Lead SW Architecture | BMW AG

Christoph Neumeier
Senior Manager – Automotive | Sopra Steria SE