Ubuntu AI | Ep 5: Understanding MLOps and Observability

Send us a text

In this episode we're hosting Simon Aronsson, Senior Engineering Manager for Canonical Observability Stack.
Machine learning operations (MLOps) is a new practice that ensures ML workflow automation in a scalable and efficient manner. But how do you make MLOps observable? How can you better understand how your product-grade AI initiative and its infrastructure are performing?

This is where observability comes in.

Learn more about our solutions here: https://ubuntu.com/ai