MLOps – The Discipline for Successful AI Innovations with Pratheek Devarj

Join Microsoft’s Pratheek Devaraj as he speaks to MLOps and what it takes to build a successful machine learning pipeline.

MLOps, or DevOps for machine learning, enables data science and IT teams to collaborate and increase the pace of model development and deployment via monitoring, validation, and governance of machine learning models. We will examine end-to-end ML scenarios which will be operationalized using Azure Machine Learning and integrated with Git and Azure DevOps.

This video was recorded during the Calgary Azure Analytics User Group on June 2, 2020.

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Music by BenSound.

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Renata Kalsbeek

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Renata Kalsbeek is a Business Development Coordinator of Iteration Insights. Renata graduated with a B.Comm from Toronto Met, where she completed a double major in Marketing and Economics within 3 years. She is passionate about marketing strategy and planning and has developed an interest in leveraging marketing automation to run a lean marketing team.