Neo4j: Shaping the future of manufacturing with connected data and Neo4j

Framed the day around four top use-case categories in manufacturing/automotive: shop-floor visibility, supply chain and order optimization, requirements/engineering traceability, and sales/marketing enablement. Cited Siemens research that 31–94% of enterprise data is siloed and AI projects can fail without AI-ready data. Core argument: knowledge graphs turn fragmented, unstructured data into structured, relationship-aware context that both humans and AI agents can reason over.