Summary
Elastic ML has an additional feature over and above anomaly detection: the ability to take and extrapolate time series models into the future for forecasting purposes. With use cases that include advanced breach detection and capacity planning, this feature alleviates the human burden of manually charting, tracking, and predicting where things are going in the future, based upon how they have behaved in the past.
In the next chapter, we’ll go deeper into the results that anomaly detection and forecasting give us, and we will set up a better understanding of how to leverage those results for dashboards and proactive alerts.
