Treat drift as a loop, not a surprise

The move: make drift a planned loop. PDCA helps edge AI teams improve field performance without turning every anomaly into a fleet-wide scramble. Plan the signal Name the slice and threshold before launch. Examples: night-shift false rejects, p95 inference latency after firmware update, low-confidence rate after new product packaging, or override rate by site. Do a bounded change Test the fix on a subset. A threshold adjustment, camera cleaning protocol, retraining batch, or fallback change should start where the risk is visible but contained. Check against the baseline Compare the field signal to the launch baseline and SLO. Look for…

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