I think the key factor here is that with the new tools and power in computation big data is everywhere. Intelligent and creative people can use this tools to cr

I think the key factor here is that with the new tools and power in computation big data is everywhere. Intelligent and creative people can use this tools to create models and new hypothesis that they can refine and sharp with the new data. This is like Lisp and its meta capabilities. We can design programs that create general hypothesis (macros) and then those tests are macro-expanded to create functions that specialize and refine the model and hypothesis. The power of computation and the availability of rich sources of data (sensors, NLP, twiiter, and so on) allow us to think in ways that were a dead end before the big data era. Is the new tools and powerful computational capabilities what rewards those with the inspiration and creativity required to get the most of it. Industry or Academia is a false dichotomy, what is needed here is a new way of thinking to explore and create hypothesis in a way that was not possible before the big data era.