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Speaker

Francesca Lazzeri

She / her / hers

Principal Director of Data Science and AI @Microsoft, Author of several books on applied machine learning and AI

Francesca Lazzeri, Ph.D. has over 16 years of experience in academic research, applied machine learning, AI product management and engineering team management. She is author of a few books on applied machine learning and AI, such as:

  • Machine Learning Governance for Managers (2023, Springer Nature)
  • Impact of Artificial Intelligence in Business and Society (2023, Routledge)
  • Machine Learning for Time Series Forecasting with Python (2020, Wiley)
  • and many other publications, including technology journals (O’Reilly, InfoQ, DZone)

Francesca is Principal Director of Data Science and AI at Microsoft, where she leads an organization of talented data scientists and machine learning scientists building AI applications on the Cloud, utilizing data and techniques spanning from generative AI, time series forecasting, experimentation, causal inference, computer vision, natural language processing, reinforcement learning. Before joining Microsoft, she was a Research Fellow at Harvard University in the Technology and Operations Management Unit and Adjunct Professor of Python for AI at Columbia University.
Francesca is currently Professor at the Machine Learning Institute (MLI), Advisory Board Member of the AI-CUBE (Artificial Intelligence and Big Data CSA for Process Industry Users, Business Development and Exploitation) project, Advisory Board Member of the Women in Data Science (WiDS) initiative, Machine Learning Mentor at the Massachusetts Institute of Technology, and active member of the AI community. You can find her on LinkedIn https://www.linkedin.com/in/francescalazzeri/ and Medium https://medium.com/@francescalazzeri

Find Francesca Lazzeri at:

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Session

Best Practices for Deploying Large Language Models in Production

Large language models (LLMs) have revolutionized natural language processing (NLP) and enabled a wide range of applications, such as text generation, summarization, question answering, and conversational agents.

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Date

Monday Jun 24 / 10:30AM EDT ( 50 minutes )

Location

Metcalf Hall

Video

Video is not available

Slides

Slides are not available

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