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ML Ops in Production

Data Skeptic

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Are We Moving in New Directions Now?

A lot of my own professional experience has been on the deliverable being a model artifact. I think that it used to be that way and now we're kind of evolving. The only question near a ticket or a feature or a bug is how long would it take to fix it or build it? And when we think about models, sometimes it's just, yep, that's not feasible.

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