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Extending the Elastic Stack with Machine Learning

Abstract 
Through an acquisition of Prelert's machine learning-based behavioral analytics technology, Elastic extends and accelerates the value you derive from the Elastic Stack by automatically detecting abnormal behavior patterns in your data - thus identifying changes that can impact application performance/availability or identifying behaviors that may be indicative of advanced security threats. Through Rich Collier's work across a broad spectrum of organizations implementing advanced analytics, he has several key use cases of significant benefit to Elastic users at any stage of adoption.

Speaker Bio Rich Collier – Solutions Architect, Elastic. Joining the Elastic team from the Prelert acquisition, Rich has over 20 years experience as a Solutions Architect / Pre-Sales Systems Engineer for high-end software, hardware, and service solutions. Rich’s technical specialties include:  Big data analytics, Machine learning, Anomaly detection, Threat detection, Security Operations, Application Performance Management, Web Applications, and Contact Center Technologies.