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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