Want to learn how to lose $40,000? One company inadvertently did— by embracing infinite storage and compute without guardrails, an oversight that could have been solved with MLOps.
Sometimes defined as “DevOps for ML”, MLOps encompasses everything from the hardware and software on which machine learning is done to the governance and ethics associated with deployment.
Demetrios Brinkmann, coordinator of the MLOps community and host of a number of fantastic AI podcasts, came in to discuss how we should be evaluating models throughout their life cycle. He also introduced a completely unique way to gamify feature stores that could change the way data scientists are remunerated. Demetrios shared some stories about how businesses can benefit from MLOps (and the astounding times ML has gone wrong without it!)
Hear Demetrios talk about AI Ethics and AR in the Bonus Minutes
on our website, mlminutes.com
, where you can also find episode transcripts
, additional resources, and more. To stay up-to-date on upcoming guests & giveaways, follow us on Twitter
, or Instagram
Our intro music is Funkin' It by the Jazzual Suspects
, and our outro music is Last Call by Shiny Objects
, both on the OM Records