[softwaredoug]

I think what happens is traditional, supervised ML kind of comes through and steamrolls everything due to the proliferation of tools to operationalize and train models. There's just inertia behind one family of ML that other solutions end up with much more bespoke solutions. Mindshare builds momentum into more mindshare...