GraphSummit Copenhagen

Register: https://events.neo4j.com/graphsummit-nordics-2026

Graphs + AI: Transform Your Data Into Knowledge
Join us for a full day of insights, hands-on learning and real-world examples showing how graph technology transforms disconnected data into actionable knowledge that powers intelligent AI systems.

Agenda Highlights:
Graphs + AI: Transform Your Data into Knowledge
Emil Eifrem, CEO, Neo4j

Join us as Neo4j's Emil Eifrem 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.

A new AI based Graph Visualization tool: Financial Graph network for non-graph experts
Fayçal Riad Hamou, Tech Lead - Financial Crime Prevention Services, DNB
Understanding a financial graph network structure is a complex task. We introduce a new AI‑based graph visualization tool designed to make financial network analysis accessible to non‑graph experts. The tool enables users to explore relationships, detect patterns, and identify risks without requiring prior knowledge of graph theory. The approach lowers the barrier to advanced financial network analysis while supporting faster and more informed decision‑making

Capgemini and AstraZeneca: Graph Implementation in Action
Johan Müllern-Aspegren, Emerging Tech Lead, Applied Innovation Exchange Nordics and Core Member of AI Futures Lab, Capgemini

From Fragmented Data to Holistic Insight: A Graph-Based Approach to Supply Chain Management
Alexander Hegermann Lauritsen, Data Scientist - AI & Digital Accelerator, Danfoss Group Digital & IT
Modern supply chains are complex, multi-layered networks, yet fragmented systems often limit visibility, slow reactions to disruption, and make change hard to assess. In this talk, we share our journey to building a 360-degree, graph-based view of our end-to-end supply chain (SCM 360) using Neo4j, enabling impact analysis, risk propagation, traceability, and scenario exploration. We conclude with key lessons learned and what it takes to move from analytical insight to production-ready supply chain intelligence.

Neo4j Product Vision & Roadmap
Ivan Zoratti, Vice President - Product Management, Neo4j
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.