Do You Dare Run Your ML Experiments in Production? with Ville Tuulos - #523
Analysis
This podcast episode from Practical AI features Ville Tuulos, CEO of Outerbounds, discussing his experiences with Metaflow, an open-source framework for building and deploying machine learning models. The conversation covers Metaflow's origins, its use cases, its relationship with Kubernetes, and the maturity of services like batch processing and lambdas in enabling complete production ML systems. The episode also touches on Outerbounds' efforts to build tools for the MLOps community and the future of Metaflow. The discussion provides insights into the challenges and opportunities of deploying ML models in production.
Key Takeaways
- •The episode focuses on the practical aspects of deploying ML models in production.
- •Ville Tuulos discusses his work with Metaflow and its evolution.
- •The conversation covers the role of Kubernetes and other services in MLOps.
“We reintroduce the problem that Metaflow was built to solve and discuss some of the unique use cases that Ville has seen since it's release...”