Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Ira Cohen

Ira Cohen
Cofounder, Chief Data Scientist, Anodot

Website | @IraIracohen

Ira Cohen is a cofounder and chief data scientist at Anodot, where he’s 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

1:50pm–2:30pm Thursday, March 8, 2018
The real-time journey from raw streaming data to AI-based analytics
Data engineering and architecture, Data science and machine learning, Streaming systems and real-time applications
 Location: Expo Hall 1
Secondary topics:  Expo Hall, Graphs and Time-series
Roy Ben Alta (Amazon Web Services), Ira Cohen (Anodot)
Average rating: *****
(5.00, 1 rating)
Many domains, such as mobile, web, the IoT, ecommerce, and more, have turned to analyzing streaming data. However, this presents challenges both in transforming the raw data to metrics and automatically analyzing the metrics in to produce the insights. Roy Ben-Alta and Ira Cohen share a solution implemented using Amazon Kinesis as the real-time pipeline feeding Anodot's anomaly detection solution. Read more.