Anodot’s Chief Data Scientist Dr. Ira Cohen presents how Anodot devised a way to intelligently monitor the performance of highly complex, unsupervised machine learning models with a “learning the learner” approach at O’Reilly’s Artificial Intelligence Conference in San Francisco.
O’Reilly’s AI Conference is where cutting-edge science meets new business implementation. It’s a deep dive into emerging AI techniques and technologies with a focus on how to use it in real-world implementations.
Presented By Dr. Ira Cohen
Dr. 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.