Data readiness checks to recall
Recall core data readiness checks before approving an AI pilot.
Recall CLMTSL What six checks make data AI-ready? Coverage, Labels, Missingness, Timing, Sensitivity, Leakage Data use Report-ready versus AI-ready data Reporting trust is a clue, not proof of AI readiness. Objection The dataset is huge, so small gaps will not matter. Your line Volume helps only if the missingness and labels are representative. Let's check gaps by segment before calling it ready. Do not let row count substitute for coverage evidence. It turns a vague size claim into a measurable readiness check. Leakage What is timing leakage? A model uses information that would not exist at the time of the…
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