To Succeed with AI, You’ve Got to Nail the Basics

Smart people and companies fall into a common trap when it comes to AI: the false belief that adding a layer of AI on top of their current processes will hide rather than reveal a multitude of past sins. While they know full well that “garbage in means garbage out,” they imagine themselves immune to slop, hallucinations, and customer dissatisfaction. They believe that their data is better than average, despite little investment, or that putting a human in the loop will deal with any problems that pop up down the line.