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/ Webinars / Putting MLOps into Practice

Putting MLOps into Practice

With MLOps, you will be able to streamline and manage your end-to-end machine learning lifecycle, from the inner loop of the data science lifecycle to the outer loop of model deployment and monitoring. In this session, Piethein will help you understand what is MLOps and how to put MLOps into practice with best practice recommendations, reference architectures, and hands-on examples.

Featured Speakers

Piethein Strengholt - Data Science Dojo

Piethein Strengholt

Senior Cloud Solution Architect at Microsoft

Piethein Strengholt is a Senior Cloud Solution Architect at Microsoft. He is a published author of the book Data Management at Scale (O’Reilly), prolific blogger and speaks up the latest trends in data management, data mesh and data strategy at scale

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