How to Think About ML Ops

ML ops is here to stay Whether or not it's Kubernetes or whatever comes after. Different organizations have to think through different axes that define how a team or a business should think about its approach to ML ops. Open source versus not open source like are we gonna use something you're gonna stitch together a bunch of open source tools or you can use sage maker out of the box. How much money do you have? Can you get a buy with just spinning everything up on your own? All these different axes different organizations have toThink through And it becomes not a one-size-fits-all. Mr Michayo has a little consultant in his blood.