There are many problems which are simply impossible to do with traditional optimisation or human analysis, that ML can do really well at. But I get the sense that this is not the type of problem that these "AI" startups referred to are addressing. Instead its like 'here is a problem I can charge for, with some ML magic it will be easy'. This is classic snake oil.
Being able to sift/classify/analyse data with ML really can be a 'moat', an extreme competitive advantage. But using "AI" doesn't automatically get you there.
Separately, AWS is an expensive luxury, which is worth it if for some reason you can't manage your own computers.
I really annoys me when analysts like this guy mangle together things which are obvious and then comes up with an unsupported conclusion, like "second AI winter is coming man".
Being able to sift/classify/analyse data with ML really can be a 'moat', an extreme competitive advantage. But using "AI" doesn't automatically get you there.
Separately, AWS is an expensive luxury, which is worth it if for some reason you can't manage your own computers.
I really annoys me when analysts like this guy mangle together things which are obvious and then comes up with an unsupported conclusion, like "second AI winter is coming man".