How banks should prepare for robots going rogue

Next banks must dive headlong into the data. They already have a deep understanding of market and other data that flow in and out every day, but machine-learning applications are introducing vast quantities of new types of social media and customer-interface data that need to be catalogued and monitored. These new data forms require the same level of governance as trading and other financial data. Individuals or teams must be relentless in screening out anything that could bias a machine-learning application's results.