MIT Technology Review AI reporting opinion · 1d ago · 1/5
AI needs a strong data fabric to deliver business value ↗
As AI moves from experimentation to core enterprise workflows, organizations are discovering that data quality and business context—not model performance—are the primary obstacles to AI success. Without a data fabric that preserves semantic meaning and business logic, AI systems can produce technically correct but operationally flawed decisions across finance, supply chain, and operations. Companies are shifting from centralized data consolidation to federated integration models that use knowledge graphs and governance layers to ground AI agents in shared business understanding.