I do believe we’re about to see many more success stories in predictive analytics and big data going forward. We can point to instances like the recent success of AlphaGo, a program developed by Google, which was the first of its kind to beat one of the best human players in the world in the board game Go.
Lately, I continue to see a variety of articles with a “Big Data Is Doomed!” theme to them. My view is that, frankly, people making those statements are probably doomed themselves. I suspect that most data that is actually useful is not the data that is already there. Making sense out of historical data that’s been collected over time might not be the primary use of the predictive analytics.
Let’s focus on the term “predictive analytics” for a moment.
Is there a connection between a company’s diversity of ideas and its subsequent output of innovation? Absolutely. Yet, in some companies, there’s a kind of thinking that only this or that department or person with a certain title could possibly have ownership over an idea that moves the company forward.