How AI data foundations are rewriting enterprise architecture

In the quest to deploy artificial intelligence at scale, enterprises are discovering a basic truth: Model capability is no longer the only issue, but data access and control can determine success or failure for AI initiatives. This realization has led to a focus on AI infrastructure, the buildout of a data foundation that can provide unified access, metadata intelligence, security and hybrid orchestration. The next phase of AI-driven transformation will rely heavily on how organizations use data platforms to turn AI proofs-of-concept into production value. AI stacks are rewriting the rules of business, transforming core mechanics of the enterprise. Infrastructure matters when deploying AI models, determining how decisions get made, how work gets executed and how risk gets governed. “The winners will be the organizations that build a complete system around those models – one that connects to existing deterministic applications, creates a shared truth layer, controls agents as they take action, and…