Commit to One MLOps Readiness Upgrade
Write a specific MLOps commitment with situation, action, and trigger.
Choose one real ML workflow and create one readiness artifact that reduces ambiguity before launch or retraining. MLOps readiness upgrade for a model, scoring job, feature pipeline, or evaluation workflow. The churn scoring batch job has no input freshness check before predictions are written A retraining notebook reports aggregate AUC but no segment metric for the highest-risk user group A model artifact is saved without a run manifest linking code SHA, data snapshot, parameters, and metrics A feature table used in inference has no owner, null policy, or change-notice path When I next touch [specific model workflow], I will create…
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