Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
Ira Cohen

Ira Cohen
Cofounder and Chief Data Scientist, Anodot

Website | @IraIracohen

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.

Sessions

12:05–12:45 Wednesday, 23 May 2018
The app trap: Why every mobile app and mobile operator needs anomaly detection
Data-driven business management, Strata Business Summit, Streaming systems and real-time applications
 Location: Capital Suite 15/16 Level: Intermediate
Secondary topics:  Telecom, Time Series and Graphs
Ira Cohen (Anodot)
The mobile world has so many moving parts that a simple change to one element can cause havoc somewhere else, resulting in issues that annoy users and cause revenue leaks. Ira Cohen outlines ways to use anomaly detection to track everything mobile, from the service and roaming to specific apps, to fully optimize your mobile offerings. Read more.