Azure Daily 2022 by Gordon

General availability: Multivariate Anomaly Detection

You will be able to usedependencies and inter-correlations between up to 300 different signals and now easily integrate the multivariate time series anomaly detection capabilities into predictive maintenance solutions, artificial intelligence for IT operation monitoring solutions for complex enterprise software, or business intelligence tools. Through the anomaly results that are detected by this feature, you will not only know when there is an anomaly before a disaster happens, but also get the contribution rank of anomalous variables, which will help save time and effort to analyze root cause.

Line graph for multiple variables including: rotation, optical filter, pressure, bearing with anomalies highlighted in orange.