Carrier Management: AI, Accuracy, and the Pursuit of Perfection

I was working with a business intelligence executive who told a story to illustrate this problem. His internal client wanted to use a machine learning algorithm to improve his operations. His team was only about 25 percent accurate at predicting certain events using traditional analytics approaches. He wanted a machine learning algorithm that could improve their performance, with a target of 85 percent accuracy. When he was told that the machine learning algorithm could probably get him to 50 percent accuracy (twice as good as what his team could do), the client refused to implement it.