Machine Learning Governance for Managers

Francesca Lazzeri, Ph.D. is an experienced data and machine learning scientist with over fifteen years of academic research, tech industry and engineering team building/management experience. Francesca is Professor of machine learning at Columbia University and Principal Data Scientist Manager at Microsoft, where she leads an organization of data scientists and machine learning engineers building data science and machine learning applications. Before joining Microsoft, she was a research fellow at Harvard University in the Technology and Operations Management Unit.Alexei Robsky possesses an impressive professional background spanning over twelve years, characterized by his proficiency in constructing technological products, guiding engineering and data science teams, and spearheading business growth through the application of data science solutions. Currently, Alexei is a Data Science manager at Google, where he leads the SMB Growth Product Data Science team for Google Workspace. Previously, he contributed his expertise at Twitter, supporting a data science organization dedicated to optimizing Personalization and User Experience. Prior to Twitter, Alexei held the position of Principal Data Science Manager at Microsoft, where he successfully directed teams of data scientists, machine learning engineers, and data engineers in implementing cutting-edge solutions to enhance the customer experience on Microsoft Azure. Alexei's educational background includes an MBA from Duke University and a BSc in Electrical Engineering and Computer Science from Tel Aviv University.

• 1. Understanding Business Goals.- 2. Measure the Right Things.- 3. Searching for the Right Tools.- 4. MLOps Governance & Architecting the Data Science Solution.- 5. Unifying Organizations’ Machine Learning Vision.