Proper data hygiene critical as enterprises focus on AI governance

Today's artificial intelligence/machine learning algorithms run on hundreds of thousands, if not millions, of data sets. The high demand for data has spawned services that collect, prepare, and sell them. But data's rise as a valuable currency also subjects it to more extensive scrutiny. In the enterprise, greater AI governance must accompany machine learning's growing use. In a rush to get their hands on the data, companies might not always do due diligence in the gathering process -- and that can lead to unsavory repercussions.