Live from TWIMLcon! Use-Case Driven ML Platforms with Franziska Bell - #307


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By TWiML & AI and Sam Charrington. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.

Franziska Bell, Ph.D., is the Director of Data Science Platforms at Uber, and joined Sam on stage at TWIMLcon last week to discuss all things platform at Uber. With the goal of providing cutting edge data science company-wide at the push of a button, Fran has developed a portfolio of platforms, ranging from forecasting to anomaly detection to conversational AI. In this episode, we discuss:

  • Through strategic use cases, Fran’s team of data scientists works closely with teams across the organization at every stage to solve problems and build infrastructure
  • The evolving working relationship between her team and Michelangelo (Uber’s ML Platform), including the challenges and benefits that such a platform provides
  • Insight into Uber’s development methodology and how the data science team is organized from start to finish to create a culture of learning and expertise that results in fast results and reduced risk
  • Fran’s take on the future of ML platforms and more!

Check out the complete show notes at

339 episodes