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Learn about the importance of identifying relationships between time metrics in root cause diagnosis, forecasting, and more from Anodot Data Scientist Inbal Tadeski.

Presented at Strata Data Conference, where cutting-edge science and new business fundamentals intersect.

 

Presented by Inbal Tadeski

Inbal Tadeski is a data scientist at Anodot, where she helps develop the algorithms that power their groundbreaking AI analytics platform. Previously, Inbal was a research engineer at HP Labs, where she specialized in machine learning and data mining. She holds an MSc in computer science with a focus on machine learning from Hebrew University in Jerusalem and a BSc in computer science from Ben Gurion University.


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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