On-demand webinar
Automated Anomaly Detection with Machine Learning
Hosted by:
![Steve Dodson](https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/bltef1152819d83547b/5da7380eb4524f686fd7a1b3/headshot-steve-dodson-300x300.jpg)
Steve Dodson
Distinguished Engineer II
Elastic
![Steve Kearns](https://static-www.elastic.co/v3/assets/bltefdd0b53724fa2ce/blt75edf9362d75ac3b/5f61260bd70e764f3292061b/headshot-steve-kearns-300x300.jpg)
Steve Kearns
GVP of Product Management
Elastic
Overview
The creators of Elasticsearch, Kibana, Beats, and Logstash bring you a brand new feature. The 5.4 release introduces machine learning features (in beta) for the Elastic Stack. We hope you’re excited about it — because we are!
As datasets increase in size and complexity, it becomes impractical to spot infrastructure problems, cyber attacks, or business issues using only dashboards or rules. X-Pack machine learning features automatically model the normal behavior of your time series data in real time to identify anomalies, streamline root cause analysis, and reduce false positives.
Get a full tour of machine learning featuring a demo and Q&A.
You might also enjoy these:
- Download a trial version
- Read the release blog
- Try these recipes for common use cases
- Explore more examples on GitHub
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