The Anomaly Detection service helps you to identify anomalies in a multivariate dataset by taking advantage of the interrelationship among signals. This service builds a machine learning model for each signal as a function interrelationship among signals so it maximizes the accuracy of identified anomalies. You use it to build and train models to detect anomalies in your data.

The core machine learning algorithm of Anomaly Detection service includes Oracle patented multivariate time-series anomaly detection algorithm.

The Anomaly Detection service documentation shows you how to use this new service and interesting information is in the AI Blog.