AI Readiness Through Data Hygiene: A Practical Guide
Everyone wants AI right now. Very few teams are ready for it. The gap usually is not model access. It is data hygiene. If your CRM has duplicates, your warehouse models are lightly tested, your metric definitions change depending on who is in the room, and your dashboards already disagree, AI will not solve the problem. It will scale it. That is what “AI readiness through data hygiene” actually means: getting the underlying data trustworthy enough that scoring, automation, and copilots can be useful instead of noisy.
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