Ira Cohen
Cofounder and Chief Data Scientist, Anodot

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

11:05am–11:45am Tuesday, September 19, 2017

Learning the learner: Using machine learning to monitor. . .machine learning?

Implementing AI

Location: Yosemite BC

Level: Intermediate

Secondary topics:  Anomaly detection, Data science and AI
Ira Cohen (Anodot)

The best practice in machine learning is to define a clear performance measurement for each model. However, when multiple models are deployed in parallel or feed into each other, it is infeasible to manually monitor them. Ira Cohen explains how Anodot devised a way to intelligently monitor the performance of its highly complex, unsupervised machine learning models.