Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK
Ira Cohen

Ira Cohen
Cofounder and Chief Data Scientist, Anodot

Website | @IraIracohen

Ira Cohen is a cofounder and chief data scientist at Anodot, where he is responsible for developing and inventing the company’s 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.

Sessions

9:30–10:00 Wednesday, 1/06/2016
Hardcore data science
Location: Capital Suite 4 Level: Intermediate
Tags: real-time, iot
Ira Cohen (Anodot)
Average rating: ****.
(4.80, 5 ratings)
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. Ira Cohen outlines such a system that performs real-time machine learning and analytics on streams at massive scale. Read more.