Another interesting scene can be the one where the an economist through Yale, who works as a data scientist for the Oakland Athletics explains the medieval approach taken by most baseball scouts. He also talks about how to look at the problem differently, through a data point of view.
This particular different points of view creates friction. If you are developing data driven products for any industry, you will face the problem of friction between subject matter experts in addition to data scientists. Unfortunately for human experts, almost all technologies eventually becomes faster, better, cheaper in addition to win in most cases.
Human experts do play an important role inside process of build data driven products in addition to artificial intelligence products. They train the machine to interpret data in addition to take right decisions. Experts play the important role of teaching machines, like a parent teaches a child. No machine inside entire world, not even IBM Watson, has inherent knowledge. A human has to train This particular.
Product managers who understand This particular in addition to product teams in which appreciate This particular reality in addition to work together will build the most successful data products of the future.