These extremely insightful interviews were based on an already eye-opening session led by Alexandra and Stefan at last year's DevGuild: AI Summit event. #ML is an exciting and very of-the-moment discipline, but to those of us without a PhD in it, it may seem like a non-deterministic black box that's just too risky to be reliable. The recommendations shared in this article: - Aligning around #metrics everyone can agree on (including the eventual need to ship something) - Investing in #eval, and - Driving cultural alignment Seem like things that teams can start doing today. I expect we'll see even more important #AL, ML, and #software #dev topics covered at next week's DevGuild: AI Summit II in San Francisco. If topics like this are of interest to you, please consider registering: https://lnkd.in/gzxq5M9n
We at Heavybit fully expect machine learning to be the next great driver of change in operations. But MLOps seems to have fallen short of expectations. Why? Hear from Adam Zimman, Alexandra Johnson, Andrew Fong, and Stefan Krawczyk. https://lnkd.in/gEjBTZXu
Incredible to see such practical advice for making ML accessible to teams without specialized backgrounds; looking forward to the innovations this will enable!