Time series and event data form the basis for real-time insights about the performance of businesses such as ecommerce, the IoT, and web services, but gaining these insights involves designing a learning system that scales to millions and billions of data streams. In this session from the O’Reilly Conference Strata New York, Ira Cohen, Anodot’s Chief Data Scientist and co-founder, ¬†outlines a system that performs real-time machine learning and analytics on streams at massive scale.