ML with K8s

We chatted with Gabriel Straub, Chief Data Officer at Ocado Technology in our latest Coffee Session. And I know we say this a lot, but it was a 'can't miss' session, for sure.

Key Takeaways
- Distinguish between data producers and data consumers. That should impact the creation and management of your data platform.
- Understand how your customers see the value you provide. ML is great but you need to be able to demonstrate the value proposition of it and show consumers how it makes it easier for them.
- Data governance should be less about access control and more about utility of data.

This session is a personal favorite cause there is nothing more I like to geek out on than audio and how to do cool stuff with it! I had the chance to speak all about that with Valerio in this Coffee Session. He is specially equipped to talk shop on audio and MLOps cause that is what he has dedicated his life to for over the past 10 years.

Valerio is MLOps Lead at Utopia Music. He’s also an AI audio consultant who helps companies implement their AI music vision by providing technical, strategy, and talent sourcing services.

Valerio is interested both in the R&D and productization (MLOps) aspects of AI applied to the audio and music domains. He's the host of The Sound of AI, the largest YouTube channel and online community on AI audio with more than 22K subscribers. Check it out!