The Future of ML Operations

Daniel: We're used to being just like the letnesley Resource in the cloud, you know everything you could possibly want there ramp it up ramp it up You got all the stuff you want there and you have this incredible diversity. So for you guys thinking about ML ops, you know so much and how do you deal with that? Like when you go from big company to one person struggling to work at all How does ML ops look when you're talking about diversity of use cases plus diversity of users and That you're serving? He says he believes these same problems will persist whether or not therefore Old school decision tree based models, distributed models that we use now are five 10 years ago