ML systems need good training data (where "good" might mean "extremely voluminous") and careful tweaking of parameters. I think an ML expert would call a system where a substantial amount of time is spent here "hand-coded".
[1] https://www.technologyreview.com/s/607965/a-reality-check-fo...
edit: "trough of disillusionment" is what I was looking for
How much time will a patient spend on rehab, and will they actually perform the exercises effectively? What's their diet like, not just calories in but in terms of individual nutrients? How active is their lifestyle?
Recovery time seems like something that should be knowable by educated doctors, but the best poker player in the world can't tell you what card is coming up on the river.
Participating in Jeopardy was quite an achievement, but to extrapolate that system and selling it as a "solve all" is to over promise.
What would you expect from a company run like a hedge fund by a bunch of marketing hacks? Half the original Watson research fellows and executives have left to start their own companies, having seen the writing on the wall years ago.