Artificial intelligence and machine learning technologies have made impressive strides in recent years, and thanks to platforms such as cloud, AI and machine learning capabilities are now widely available to organizations of all types and sizes. But as any seasoned technology leader knows, having technology on the shelf doesn't mean it will get accepted or used. Driven by these hopes of transformation to the positive side, the pace of artificial intelligence and machine learning adoption is accelerating. Ensure the right data is being applied to the right business problem. "Exploratory data analysis and feature engineering" is an important part of AI and machine learning success, Berkowitz says.

Source: Forbes April 11, 2018 17:03 UTC