The last time I talked to some "experts" at McKinsey about data science they said the leaders in the space were heavily investing in IBM's Watson and suggested

The last time I talked to some "experts" at McKinsey about data science they said the leaders in the space were heavily investing in IBM's Watson and suggested we do the same (this was right before everything started hitting the fan with Watson). They don't have much credibility in this space, despite trying very hard to sound credible. There are some smart people there but their "advice" rarely holds up to scrutiny when actual experts start poking at it--hence why they focus so heavily on vague McKinsey 'indexes' and 'benchmarks' that are very smoke and mirrors. In the example above some McKinsey "experts" were presenting such BS to a room of people quite knowledgeable about this stuff and after the first few questions it was clear they really knew almost nothing about data science, ML or AI. Indeed even at that time telling a room full of actual experts that the future was Watson would quite literally get you laughed out of the room.