Neo4j GenAI Workshop with Reply and AWS
June 24, 2026 < 1 min read
Join Neo4j, Reply and AWS experts in Munich or online for a hands-on session for data scientists and engineers where you will learn how to use graph technology to build intelligent, context-driven applications with lightning-fast queries and real-time insights. You will:… Read more →
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[Munich] Molecules to Markets: The Impact of Generative AI in Drug Discovery
June 22, 2026 < 1 min read
Talk 2: Accelerating drug discovery and strategic decision making with graph-augmented AI Dr. Alexander Jarasch Global Head of Pharma & Life Sciences, Neo4j
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Knowledge graphs power real-time intelligence: A fireside chat with Infinitus | Europe
June 17, 2026 < 1 min read
On July 9, hear how Infinitus uses Neo4j as a knowledge graph to power real-time healthcare intelligence and decision workflows.
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Agentic AI in the Wild: What Actually Runs in Production | Berlin
June 16, 2026 < 1 min read
This WeAreDevelopers PreDay meetup is for builders, founders, and practitioners wiring AI agents into real codebases, CI/CD pipelines, developer platforms, and knowledge systems. The evening focuses on the honest conversations that rarely fit into a conference talk: what breaks at… Read more →
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GraphTalk Netherlands
< 1 min read
Join us at GraphTalk Netherlands, an exclusive customer event designed to keep you up to date with the latest Neo4j product updates, innovations, and roadmap developments. Whether you’re a data professional, developer, architect, or business leader, this session will give… Read more →
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Supply Chain Resilience: Mapping Multi-Tier Risk with Graphs and AI on Azure
June 15, 2026 < 1 min read
Join us to discover how leading enterprises are modeling their supply chains as living networks on Azure.
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LJC Unconference 2026 | London
June 11, 2026 < 1 min read
LJC Unconference 2026 is a chill, in-person meet-up where Java lovers share ideas and hack together.
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LJC Meetup at Neo4j – Smarter Search with Spring AI and Neo4j | London
June 10, 2026 < 1 min read
This month’s meetup explores two of the hottest areas in modern software development: integrating Generative AI into Java applications and deploying Machine Learning models within Java ecosystems.
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The Complete Fraud Lifecycle: How Connected Data Compounds Across Real-time Detection, Investigation & Compliance
June 9, 2026 < 1 min read
In this webinar, discover how graph technology helps financial institutions connect the entire fraud life cycle: Real-time fraud detection in milliseconds Investigator-led case review and network analysis Explainable evidence for compliance and SAR workflows Continuous model improvement powered by confirmed… Read more →
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