For IT Operations, deploying machine learning capabilities requires a Data Scientists to evaluate historical performance data, select or create an algorithm to select anomalous behavior, and train the model.

With anomaly detection, ScienceLogic introduces a patent pending approach to reduce the workload and eliminate the need for a Data Scientist. By simply enabling the feature on performance metrics, SL1 automatically selects the right algorithm and trains the model using historical performance data. Combined with business service visualizations, this new anomaly detection capability provides IT Operations with the behavioral correlation analysis required to remediate problems faster in their dynamic environment.