AI needs a strong data fabric to deliver business value

Enterprise AI deployments are failing not because of model limitations but due to poor data context. A data fabric — an abstraction layer spanning infrastructure, architecture, and logical organization — is proposed as the solution. It connects data across clouds and applications while preserving business semantics through knowledge graphs and metadata catalogs. Three components are key: intelligent compute, a knowledge pool for business context, and AI agents grounded in that understanding. Organizations that deploy data fabrics report improved data accessibility and trust, enabling AI agents to make coordinated, context-aware decisions rather than optimizing in isolation.