The autonomous anomaly detector service is a REST API-based solution that supports the training and prediction of events/severity from a time series.

Its value proposition is to mitigate the hard work required to build and maintain an anomaly detection system manually for assets streaming data signals for any industry.

In just a few clicks a swagger definition and test interface to simplify integration will be created once subscribed. No resource will be created in your Tenant so you will not have extra costs, just the subscription fee.

For each metric to be tracked, the developer creates a set of models. The time bucket intervals are flexible to what process is under evaluation. The basic workflow includes:

1. Creation of User Account

2. Creation of Model

3. Model training with historical data

1. Signal data

2. Event data

3. Severity data

4. Prediction