Abstract

Prelert's machine learning-based behavioral analytics platform 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 – Director Customer Solutions, Prelert. 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.