Graph Database - Online

NeoArbi uses Neo4j and AI agents to power a real-time crypto intelligence platform - covering arbitrage detection, market insights, blockchain forensics and regulatory analysis. By modeling exchanges, assets and transactions as a connected graph, it uncovers pricing gaps, patterns, anomalies and risk signals across the crypto ecosystem. AI agents add context by learning from historical behavior and market dynamics, enabling deeper insights and continuous monitoring. This session explores the graph data model, key Cypher patterns and the agent architecture behind these capabilities - and shows how graph-based intelligence connects market, compliance and risk insights in one unified view.

Guest: Arthur Namias de Crasto ( https://www.linkedin.com/in/arthur-namias-de-crasto-49613414/ )

#neo4j #graphdatabase #agenticai #knowledgelayer #crypto #trading #genai #knowledgegraph

3rd edition of GraphTalk Pharma & Life Sciences returns on 2 July 2026 in Munich, again as a hybrid event.

Join us to explore how leading organizations are moving beyond AI experimentation and into production-ready, reliable AI systems powered by context graphs.

AI fatigue isn’t about the model, it’s about the foundation. In pharma and life sciences, fragmented data limits the impact of GenAI. Without connected, explainable context, AI remains stuck in pilots.
Knowledge graphs change that. They unify data across scientific literature, omics, clinical trials, and real-world evidence, creating a structured reasoning layer that enables grounded, traceable, and up-to-date insights.

This year’s agenda follows the pharma product lifecycle, showcasing how GenAI and knowledge graphs drive impact across:

• R&D – accelerating discovery and target identification
• Clinical – enabling explainable, data-driven decisions
• Supply Chain – improving resilience and operational intelligence

Throughout the day, you’ll hear real-world use cases from leading organizations using Neo4j to bring context to AI and move from pilots to production.
You’ll leave with a clear understanding of where GenAI and context graphs can take your organization next and how to get there.

Choose your preferred experience: attend physically on the day, or stream online, whatever suits your schedule and interest.