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Monitoring AI with AI

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Summary

Iskandar Sitdikov discusses a solution, tooling and architecture that allows an ML engineer to be involved in delivery phase and take ownership over deployment and monitoring of ML pipelines.

Bio

Iskandar Sitdikov is Hydrosphere.io ML engineer with rich practical background both in Machine Learning and Big Data fields. His latest tasks lie in the area of research and prototyping data anomalies and concept drifts detection methods in ML production.

About the conference

PAPIs is the conference made by and for ML practitioners. Anyone can submit talk proposals (blind-reviewed by our committee) or ask questions to take discussions further. Breaks between sessions are perfect to get to know fellow attendees, speakers, and top ML companies.

Recorded at:

Feb 17, 2019

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