Artificial intelligence's data problem meets AI's people problem

It takes a well-designed information architecture -- IA -- to ensure good AI. The challenge is getting both people and data on the same page when it comes to AI work. And there's much work to be done on both fronts. That's the word from Seth Dobrin, global chief AI officer at IBM. "Data is the food for AI, yet few organizations sit down at the table to design an AI strategy with a full accounting of where all their data resides and how organized it is," he says. "IT professionals are drawing from at least 20 data sources to inform their AI, and some have to draw from hundreds, so this is a big data infrastructure issue."