Summary

Elastic ML can certainly boost the amount of data that IT organizations pay attention to, and thus get more insight and proactive value out of their data. The ability to organize, correlate, and holistically view related anomalies across data types is critical to problem isolation and root cause identification. It reduces application downtime and limits the possibility of problem recurrence.

In the next chapter, we will see how other apps within the Elastic Stack (APM, Security, and Logs) take advantage of Elastic ML to provide an out-of-the-box experience that's custom-tailored for specific use cases.