Using machine learning to detect unknown anomalies

Using machine learning to detect unknown anomalies

Sponsored by: Progress

It costs 50% more to repair a failed asset if the problem is identified after the failure, according to the U.S. National Response Center. Cognitive anomaly detection and prediction for industrial IoT (IIoT) could be the answer to identifying problems before failure. Discover how using machine learning to detect unknown anomalies can lead to: 40% increase in cost savings 30% reduction in maintenance costs 45% drop in downtime

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