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Case study

Prognex — Industrial Failure Prediction

Anomaly detection for predictive maintenance.

Time SeriesAnomaly DetectionMLOps
6h+
Early warning
−40%
False alarms
+12%
Uptime
Problem

Unplanned equipment failures cause expensive downtime and safety risks on the factory floor.

Solution

Time-series anomaly detection combining classical ML with deep learning, deployed as a real-time scoring API with alerting.

Impact

Surfaced failure precursors hours before breakdown, materially reducing operational risk.

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