Francesca Lazzeri

(She / her / hers)

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 technology journals and conferences.

Francesca is Adjunct Professor of AI and machine learning at Columbia University and Principal Data ScientistManager at Microsoft, where she leads a team of data scientists focusing on data science and machine learning applications for customer retention, economics, finance, experimentation and fraud/payments use cases.

Before joining Microsoft, she was a research fellow at Harvard University in the Technology and Operations Management Unit. She is also on the advisory board of Women in Data Science (WiDS) and AI-CUBE (www.ai-cube.eu), machine learning mentor at the Massachusetts Institute of Technology, and active member of the AI community. You can find her on Twitter: @frlazzeri

Find Francesca Lazzeri at:

Session

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.

Date

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

Track

ML Everywhere

Topics

Machine LearningArtificial IntelligenceData Engineering

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