Lo scenario
A production predictive maintenance system must monitor model inputs, predictions, and drift to ensure reliability and trigger alerts.
Cosa contiene questo disegno
Leggi le decisioni che ne stanno alla base.
01
Separate Prediction and ActualOutcome tables to compare forecasts with observed equipment failures
02
Model feature distributions and drift metrics as first-class entities to support automated monitoring
03
Link DataQualityIssue to Reading to track upstream data quality problems
Use when designing a schema for ML observability, drift detection, or model performance tracking in industrial IoT or maintenance domains.