AI, ML and Data Engineering InfoQ Trends Report
The InfoQ Podcast
00:00
M L Ops - Data Scientist or Data Engineer?
M l ops is trying to make it easier for the developer to also do the ops roll. The idea is, let's focus on the problem domain and have this infra structure pretty much standardized or commoditized. Momen data scientists may not be even willing to go that way. But definitely these pipe lines and other things we've been talking about, like cube flow and m l flow, their purpose is to help automate that intrstructure of data scientists crang the model all the way to production.
Transcript
Play full episode
