Moving enterprise AI from pilot to production starts with data governance
A contributed TechRadar Pro Perspectives piece notes that McKinsey's 2025 global survey found 88% of respondents say their organizations regularly use AI tools in at least one business function, up from 78% a year earlier, yet only 7% say AI is fully scaled and 30% remain stuck in piloting. The author argues the bottleneck is often below the model: marketing metrics live across platforms and warehouses under different field names and rules, so models make their own assumptions and produce confident but wrong answers. The suggested fix is a governed "knowledge layer" with canonical metric definitions, cross-platform mappings, business rules and current campaign context layered on top of existing warehouses.
It argues that turning AI spend into measurable value starts with governing data and metric definitions rather than adopting an even newer model.