Predictive analytics, powered by machine learning and artificial intelligence, is all the rage. The race is on to build data lakes and train algorithms to find patterns in those lakes, in the belief that faster computation times will generate new insights. The capabilities (real and potential) drive parallel concerns that machines will replace people when conducting a range of cognitive and analytical activities. Nowhere is this more evident than in the unstructured data co

We think intensively about training data challenges because we are creating new data that has never existed before