Machine Learning in the Elastic Stack
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Data stored in Elasticsearch contains valuable insights into the behavior and performance of your business and systems. However, questions such as "are users exfiltrating data unusually?" and "is the response time of my website unusual?" can be difficult to answer.
The good news is that machine learning technologies, from the recently acquired Prelert team, can easily answer these questions. These technologies are becoming part of X-Pack and will integrate tightly into the Elastic Stack.
Attend this session to learn how to apply machine learning capabilities to the Elastic Stack and what problems they will help you solve in your business.
Sophie Chang is Team Lead for Machine Learning at Elastic. Formerly VP Engineering at Prelert, she is an experienced engineering manager, with a background in enterprise software and systems management. She has a degree in Physics from Imperial College.
Dr. Steve Dodson is Tech Lead, Machine Learning at Elastic. He was previously founder and CTO at Prelert (acquired by Elastic in Sept 2016). Steve has over 18 years of experience in enterprise systems and software development, focused on large distributed systems, complex event processing and machine learning. Prior to software development, Steve worked in the Computational Mechanics group at Imperial College, London where he delivered key contributions to the field, resolving scalability issues using a novel approach to solving Maxwell's equations which allowed it to become a practical technique used today by major companies.