I think it's indicative that despite DeepMind gaining a lot of publicity for their Go project, they haven't actually got a single commercial application out of their work (they do a bit with Google data centres and have had a couple of pilot projects that haven't been followed up on). It's largely the same with IBM, who despite Watson gaining a huge amount of publicity after winning Jeopardy has yet to add much to the bottom line of the company, much less end the record run of declining quarterly revenues.
What there are is a huge number of very interesting pilot and research projects out there, but as I'm sure given your experience in business you know, the road from pilot to fully fledged, mass market product is treacherous and far from certain. We're getting massively carried away, largely as a result of people with little real knowledge or experience in the sector or with the technology losing their heads. The fundamentals of AI aren't developing at a rate of knots at all. What is largely behind the progress that has been made is a huge amount of available data, and more powerful computers to process that data. We haven't had tremendous breakthroughs in the underlying AI, despite the hoopla suggesting otherwise, and we're still an awful long way from any kind of general intelligence.