Join Neo4j's Emil Eifrem to see how the knowledge layer surfaces relationships in your data and the how and why behind them, giving AI the context, memory, and reasoning it needs.

Inigo is a global specialty insurance and reinsurance company, underwriting through Lloyd's of London, where data is central to how it underwrites risk. Soundappan Soundarraj, Principal Data and Governance Architect, shares how Inigo is using Neo4j to build a foundation for trusted AI through unified governance, and how knowledge graphs connect governance with enterprise AI.

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.

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.

HSF Kramer is one of the world's largest law firms, with 2,700 lawyers across 26 offices and a commitment to embedding market-leading legal technology across its work. Raj Toora, Principal Strategist, Emerging Technologies, shares how the firm is putting graph technology to work.

Our speakers from earlier in the day answer your questions.

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.

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.

Hear from organisations like yours, analysts and Neo4j experts on how graph technology generates value for them:

Matt Aslett, Director of Research, Analytics and Data, ISG

Hussein Jouni, Head of Knowledge & Unstructured Data, L'Oréal

Nicolas Guinard, Managing Director, AI & Data Science, Sia Partners

Rupert Walter, Director, Investigations and Forensic Analytics, KPMG
James Radley, Technical Tribe Lead (Vena), BT Group