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

This video explores how Neo4j enables manufacturing and automotive industries to leverage connected data through knowledge graphs, addressing data silos and enhancing decision-making across key use cases.

What it covers

Shop-floor visibility
Using knowledge graphs to improve real-time monitoring and transparency across manufacturing operations.
Supply chain and order optimization
Applying connected data to streamline supply chains and optimize order fulfillment in manufacturing.
Requirements and engineering traceability
Tracking design and engineering requirements through interconnected data for better compliance and innovation.
Sales and marketing enablement
Leveraging structured, relationship-aware data to enhance sales and marketing strategies in manufacturing.
Data silos and AI readiness
Addressing the challenge of siloed enterprise data, with 31–94% of data isolated, which hinders AI success.
Knowledge graphs as context
Transforming fragmented, unstructured data into structured, relationship-aware context for human and AI reasoning.