The trouble is that the source of innovation is shifting – from human ingenuity to data-driven machine-learning. Google’s self-driving cars are getting better through the analysis of billions of data points collected as Google’s self-driving cars roam the street. IBM Watson detects skin cancer as precisely as the average dermatologist because it has been training itself with hundreds of thousands of skin images. Siri and Alexa are getting better at understanding what we say because they never stop learning. Of course, it takes plenty of talented, creative people to build these products. But their improvement is driven less by a human “aha-moment” than by data and improvements in how machines learn from it. Les mer her