Cognitive Approach to Unsupervised Anomaly Detection

Preventative maintenance is only as good as your anomaly detection. With many enterprises only capable of accurately predicting 20% of asset failures, they leave themselves exposed to a wide array of risks that could derail production. Progress® DataRPM® Cognitive Anomaly Detection and Prediction provides a framework that utilizes machine learning to automate and streamline the way enterprises approach preventative maintenance, promoting greater operational efficiency and productivity. 

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