Progress DataRPM Anomaly Detection and Prediction (ADP) identifies problem signals early to help you avoid unplanned downtime, expensive maintenance, high risks and cost impact due to decreased efficiency, yield or quality. It does it through automated machine learning on time-series data coming from one or more sensors, learning the various patterns of normal behavior and detecting the deviations that signal not just known problems, but also unknown problems.