I'm completely unsurprised by this. Regularly, at lunch, I'll ask my coworkers if they know of any DL applications that are making O($billions), and no one knows any outside of FAANG.
FAANG is making an insane amount of money due to DL. Outside of them though, I don't know who's making money here. When I was interviewing for jobs, there were a ton of startups that were trying to do things with DL that would have been better done with a few if statements and a random forest, and that had a total market size in the millions.
I think that, eventually, there'll be a market for this stuff, but I'm not convinced that it's anywhere near being widespread.
I was also a consultant before my current role. The vast majority of non-tech firms don't have their data in well organized + cleaned databases. Just moving from a mess of Excel sheets to Python scripts + SQL databases would have made a HUGE difference to the vast majority of clients I worked with, but even that was too big of a transformation.
Basically, everyone with the sophistication to take advantage of DL/ML already has the in-house expertise to do it. There's almost no one in the intersection of "Could make $$$ doing DL" && "Has the technical infrastructure to integrate DL".
I'm completely unsurprised by this. Regularly, at lunch, I'll ask my coworkers if they know of any DL applications that are making O($billions), and no one knows any outside of FAANG.
FAANG is making an insane amount of money due to DL. Outside of them though, I don't know who's making money here. When I was interviewing for jobs, there were a ton of startups that were trying to do things with DL that would have been better done with a few if statements and a random forest, and that had a total market size in the millions.
I think that, eventually, there'll be a market for this stuff, but I'm not convinced that it's anywhere near being widespread.
I was also a consultant before my current role. The vast majority of non-tech firms don't have their data in well organized + cleaned databases. Just moving from a mess of Excel sheets to Python scripts + SQL databases would have made a HUGE difference to the vast majority of clients I worked with, but even that was too big of a transformation.
Basically, everyone with the sophistication to take advantage of DL/ML already has the in-house expertise to do it. There's almost no one in the intersection of "Could make $$$ doing DL" && "Has the technical infrastructure to integrate DL".