AI
CIOs Must Redesign Operating Models to Scale Enterprise AI
Scaling artificial intelligence requires moving beyond isolated use cases to address fundamental gaps in data governance, organizational structure, and process integration.
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Scaling artificial intelligence requires moving beyond isolated use cases to address fundamental gaps in data governance, organizational structure, and process integration.
Enterprise AI success depends on the structural integrity of the orchestration layer rather than model selection. Organizations must prioritize context flow and deterministic routing to move beyond the pilot phase.