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Anodot Chief Data Scientist Dr. Ira Cohen presents how the AI analytics company 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 co-founded Anodot and serves as the company’s chief data scientist, where he develops and invents real-time multivariate anomaly detection algorithms capable of analyzing millions of time series signals. He holds a Ph.D in machine learning from the University of Illinois at Urbana-Champaign and has more than 12 years of industry experience.


   

Written by Anodot

Anodot leads in Autonomous Business Monitoring, offering real-time incident detection and innovative cloud cost management solutions with a primary focus on partnerships and MSP collaboration. Our machine learning platform not only identifies business incidents promptly but also optimizes cloud resources, reducing waste. By reducing alert noise by up to 95 percent and slashing time to detection by as much as 80 percent, Anodot has helped customers recover millions in time and revenue.

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