[Barrin92]

> abnormality detection (for instance: in medicine), agriculture (lots of movement there right now), parts inspection, assembly inspection, sorting and so on

none of these is anything someone can run from their bedroom because they have very high quality and regulatory requirements and require constant work outside of the actual AI training.

This is actually reflected in the margins of "AI" companies, which are significantly lower than traditional SAAS businesses and require significantly more manpower to deal with the long tailed problems, which is where the AI fails but it's what actually matters.

[jacquesm]

Well, depending on the size of your bedroom ;) I've seen teams of two people running fairly impressive ML based stuff. They were good enough at it that they didn't remain at two people for very long but that was more than enough to be useful to others. One interesting company - that I'm free to talk about - did a nice one on e-commerce sites to help with risk management: spot fraudulent orders before they ship.

In the long term, and to stay competitive you will always have to get out of bed and go to work. But the initial push can easily be just a very low number of people engaging an otherwise dormant niche.

Yes, medicine has regulatory requirements. But as long as you advise rather than diagnose the regulatory requirements drop to almost nil.