Ubuntu AI | Ep 5: Understanding MLOps and Observability
09/29/23 • 36 min
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
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
Previous Episode
Ubuntu AI | Ep 4: Canonical AI roadshow
What is Canonical AI roadshow? Well, basically we are trying to meet the community that is working with us and people that are contributing to the projects that we are open sourcing and we decided to go to a couple of different places all around the globe to be able to meet all the partners that we have, to meet the people engaged with us on different projects and also to basically promote an open access to innovation with what we do.
Check rest here: https://ubuntu.com/ai/roadshow
Learn more about our solutions here: https://ubuntu.com/ai
Next Episode
Ubuntu AI | Ep 6: Generative AI
This episode is about one of the most trendy topics of 2023: Generative AI. Tune in to learn what is generative AI? How you can benefit from it? And how you can start implementing AI solutions within your organization.
Learn more here: https://ubuntu.com/ai
Learn more about our solutions here: https://ubuntu.com/ai
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