To Improve AI Outcomes, Think About the Entire System
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HBR IdeaCast
CURT NICKISCH: Well, sorting through complicated problems, thinking about how one decision will affect another, that sounds a lot like what people are supposed to do at work, but a lot of organizations have this capability for AI in one place or with one data science team. Now, some large organizations can realize that or maybe they’ve got more flexibility and they can integrate it, but typically, that is a recipe for new entrants who are not starting off, “Oh, we are doing these rules starting off with some other basis, and we’re going to use AI to come in and do things better.” If they’re at an organization and you’ve got some AI technology, but it’s in a team, in one place, or in a silo, and they’re improving decisions iteratively, but not really realizing the full system power of…