Stephen Yu’s recent and extremely thought-provoking piece on AI started me wondering once again about the dangers of data overload and whether we’ll ever really, really understand the purchasing decisions people make, how they make them and be able to track them accurately.
Stephen H. Yu
One-dimensional techies will be replaced by machines in the near future. So what if they're the smartest ones in the room? If decision-makers can't use data, does the information really exist?
What is it about these buzzwords that speak to the marketer’s soul? Marketers use emotion to get consumers to buy products and services, so it may stand to reason that marketers use the language among themselves. Buzzwords, after all, tap into emotional centers in the right brain, says Harvard Business School professor Nancy Koehn in a 2014 article in the Atlantic.
The thing about predictive analytics is that the quality of a prediction is eventually exposed — clearly cut as right or wrong. There are casually incorrect outcomes, like a weather report failing to accurately declare at what time the rain will start, and then there are total shockers, like the outcome of the 2016 presidential election.
There are data geeks and there are data scientists. Then there are data plumbers, and there are total posers. In this modern world where the line between “real” and “fake” is ever-blurrier, some may not even care for such differences.
Like any resource like water, data may be locked in wrong places or in inadequate forms. We hear about all kinds of doomsday scenarios related to the water supply in Africa, and it is because of uneven distribution of water thanks to drastic climate change and border disputes.