The real-time journey from raw streaming data to AI-based analytics

Join Roy Ben-Alta, solution architect and principal business development manager at Amazon Web Services, and Anodot’s Chief Data Scientist Dr. Ira Cohen present various design patterns and share a solution implemented using Amazon Kinesis as a real-time event data processing pipeline that feeds Anodot’s AI-based analytics service, discovering and alerting on the anomalies in the data in real time and helping you avoid costly business incidents. Come to  O’Reilly’s Strata Data Conference in San Jose, March 6 – 8 2018. Details >>

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Presented By Dr. Ira Cohen

Dr. Ira Cohen is a cofounder of Anodot and its chief data scientist, where he is responsible for developing and inventing its real-time multivariate anomaly detection algorithms that work with millions of time series signals. He holds a PhD in machine learning from the University of Illinois at Urbana-Champaign and has over 12 years of industry experience.
   

Presented By Roy Ben-Alta

Roy Ben-Alta is a solution architect and principal business development manager at Amazon Web Services, where he focuses on AI and real-time streaming technologies and working with AWS customers to build data-driven products (whether batch or real time) and create solutions powered by ML in the cloud.