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What You Should Know Before Deploying ML in Production

MLOps provides tools that make building, deploying, and maintaining machine learning solutions easier than ever before. However, MLOps is not only a static set of tools that defines the way you operationalize your machine learning models, but is also (and most importantly) about your organization culture and the capability of sharing the product vision across different teams and roles. In this session, Francesca Lazzeri will share an overview of the most popular MLOps tools and best practices, and will present a set of tips and tricks that data scientists and engineers should keep in mind before deploying their solutions in production.


Francesca Lazzeri

Principal Data Scientist Manager @Microsoft

Francesca Lazzeri, PhD is an experienced scientist and machine learning practitioner with over 12 years of both academic and industry experience. She is author of the book “Machine Learning for Time Series Forecasting with Python” (Wiley) and many other publications, including...

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Find Francesca Lazzeri at:


Tuesday Nov 9 / 08:10AM PST (40 minutes)


ML Everywhere


Machine LearningArtificial IntelligenceData Engineering

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