A water utility version-controls which model build is live for leak alerts after retraining. What operations literacy does that show?

A water utility that version-controls which model build is live for leak alerts after retraining demonstrates operations literacy: model versioning and controlled deployment help civic ops know which build generates production alerts. When sensors, labels, or training code change, multiple candidate builds may exist; without version identity, teams cannot reproduce alert behavior, roll back safely, or explain why a district suddenly saw different leak rankings. Automated retraining orchestration and scheduling that help civic ops know which build generates live leak alerts after retraining automate when retraining runs, but they do not establish which build is generating live alerts or provide controlled deployment. Live prediction monitoring and drift detection that help civic ops know which build generates live leak alerts after retraining track serving health and data shifts, but they do not version-control which model build is live for leak alerts. Model registry archiving and hyperparameter logging that help civic ops know which build generates live leak alerts after retraining support audits of past leak experiments, but they do not by themselves show which build is serving production alerts after retraining. Exam caveat: versioning should cover model artifact, feature pipeline, and threshold settings together; mismatching a new model with old thresholds can look like model failure when configuration drifted. Operational check: tag each leak-alert build with an immutable version, require change tickets for promotion to production, monitor alert volume by version, and keep a one-step rollback to the prior known-good build.