Live from TWIMLcon! Use-Case Driven ML Platforms with Franziska Bell - #307
Analysis
This article from Practical AI highlights a discussion at TWIMLcon with Franziska Bell, Director of Data Science Platforms at Uber. The focus is on how Uber develops its ML platforms, emphasizing a use-case driven approach. Bell discusses her work on various platforms, including forecasting and conversational AI, and how these platforms are strategically developed. The article also touches upon the relationship between Bell's team and Uber's internal ML platform, Michelangelo. The content suggests a focus on practical applications of ML within a large organization.
Key Takeaways
- •Use-case driven development is a key strategy for ML platform development.
- •The article highlights the importance of aligning platform development with specific business needs.
- •The relationship between platform teams and internal ML platforms is crucial for success.
Reference
“Hear how use cases can strategically guide platform development, the evolving relationship between her team and Michelangelo (Uber’s ML Platform) and much more!”