Learn how to detect malicious events using both supervised and unsupervised machine learning techniques. See how to streamline the end-to-end experience of building and running machine learning jobs with the Elastic Stack.
Machine Learning Engineer
Jenny Morris has years of Java and .NET experience across various industries. She is currently a Solution Architect at Elastic helping customers gain real-time, actionable insights from their data. Consequently, customers have become industry leaders on searching, logging, analyzing and performance monitoring their applications and data. Jenny has been involved with many speaking engagements including Meetup talks, non-profit organization classes, CF Summit 2018 keynote and breakout sessions and a GraphConnect 2018 breakout session. Topics have varied from Spring/.NET to Cloud Foundry, to Functions and Graph databases.
Thomas Grabowski is the product manager focused on Machine Learning at Elastic. Prior to joining Elastic, he has spent the last 25 years building products for IT Security and Operations software startups. Tom is based in Minneapolis, MN
Camilla is a Machine Learning Engineer at Elastic working in the Machine Learning group. She is based outside of Stockholm, Sweden. When Camilla isn't curating and cleaning data or evaluating ML algorithms, she enjoys learning about reverse engineering, reading books, and planting pollinator-friendly gardens.