3 of 3: The graph ecosystem: Bringing connected context to enterprise AI

Enterprise AI requires more than large language models—it needs trusted data, business context, governance, and security integrated across cloud platforms, data systems, and applications. Neo4j positions graph technology as the “connected context layer” that bridges data platforms, AI models, and business workflows to help organizations move from AI experimentation to production-ready systems.