Start the day with inspiring keynote presentations from Neo4j leaders, customers, and industry experts exploring how organizations are transforming AI from experimentation to enterprise-scale production.
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You'll learn why the knowledge layer is the foundation for trustworthy AI and hear firsthand how leading enterprises are delivering measurable business value with graph intelligence.
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- Hands-on GenAI development
- Learn enterprise AI best practices
- Interactive lab with Neo4j experts
- Live technical Q&A
Developers, data engineers, architects, technical leads, AI engineers, and data scientists
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Workshop participants must bring their laptop and a charger.
This is an intermediate level workshop. Participants are encouraged to complete the GenerativeAI & GraphRAG learning paths in GraphAcademy, linked here.Â
Building an AI-Native Data Platform: How AstraZeneca Uses Graph Technology to Deliver Context, Interoperability, and Scalable AI
Russell Adams, Life Sciences Lead, Capgemini
Discover how AstraZeneca is using graph technology to build an AI-native data platform that connects data, provides business context, and enables trusted, scalable AI across the enterprise. Presented jointly with Capgemini, this session explores the role of connected data in powering the next generation of intelligent applications.
1. 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.
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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.
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2. Executive Track: How AI and Graph Deliver Real Business Value
Most organisations are under pressure to make AI work, and many are finding it harder and more expensive than expected. The Business Value Track cuts through the noise for business leaders who need to understand what's actually working, what's holding organisations back, and how graph technology closes the gap between AI's promise and AI's reality.
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Hear from organisations like yours and Neo4j experts on how graph technology generates value for them.
