Machine learning and the Elastic Stack: Everywhere you need it

Presented by

Thomas Grabowski

About this talk

From security detection rules to log categorization, machine learning capabilities in the Elastic Stack are tightly integrated to support a wide number of use cases. Learn how machine learning is both a differentiating horizontal capability within the Elastic Stack as well as a force multiplier within the Elastic Observability and Elastic Security solutions.

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Elastic builds software to make data usable in real time and at scale for search, logging, security, and analytics use cases. Founded in 2012, the company develops the open source Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) and Elastic Cloud (a SaaS offering). To date, there have been more than 225 million cumulative downloads. Elastic has a distributed workforce with more than 800 employees in 30 countries. Learn more at elastic.co.