Funnily enough us, who did ML before the explosion of Deep Learning and the use cases you've mentioned, were quite clear that the challenge doesn't lie in havin

Funnily enough us, who did ML before the explosion of Deep Learning and the use cases you've mentioned, were quite clear that the challenge doesn't lie in having the greatest algorithm, but having it's product usable for the intended purpose by an end user that would be willing to use it at some expected periodicity (use-case specific).