Seems like they would be making the same money either way, so the ML advantage might not be the major factor.
Conway's Law really does seem to show here.
If you replace occurrences of AI in the article with Natural Intelligence that is what so many companies really need to implement more of beforehand.
That way any decision-making that is delegated to AI afterward will not have the same limitations that the organization already had.
You usually don't want a business model with an anti-growth pattern baked into an even more opaque and unchangeable feature.
Problem is, deep application of the NI is going to get you most of the way you want to go business-wise, after that the AI might be even more difficult to justify.
Industrial-wise, with unique & complex equipment & data, where an operator gains skill through familiarity with both, a machine can be trained to gain some of that skill.
But there will always need to be someone better trained than the machine in order to get the most out of the machine.
The best investment is often going to be in a system to leverage their ability rather than try to operate without them at all.
Adwords exploits automated auctions (from Multi-agent systems)
Maps uses planning
Translate uses deep networks
Search uses ??? (dunno, but it ain't map reduce for sure)
I wonder if that is the reason I feel Google search has gotten so much more dull.
Why a Christian cult? How is AI hype more related to Christianity than any other cult?
Its just cultish insanity that happens to also be one of the bloodiest ever civil wars.
They do, however, practice the zeal of the converted, which is I think what they really were aiming it. And that by itself would qualify as "cultlike" by some definitions.
isn't this very similar to the logic you used a paragraph above though when you spun it as "all great things have birth problems, just wait?". The born-again AI company rhetorically sounds more like conversation to a Christian cult than a business strategy.
This issue of huge promises of the digital revolution followed by very meagre productivity gains actually has played out not just in 'AI' but a lot of sectors over the last three decades at this point.
Even for self-proclaimed AI companies like Google, how much of Google's financial bottom line is this new-agey wave of AI, and how much of it is pagerank, a ton of backend engineering and selling ads?