Automate the discovery of anomalous behaviour with unsupervised anomaly detection
Unsupervised anomaly detection makes it possible to automate tasks relating to the maintenance of equipment and infrastructure, which until now have been carried out by experts. One of the features of the BL.Predict equipment management platform is the ability to manually define alert thresholds so that you are warned when the systems being monitored break […]
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