By evaluating a heap of existing recipes and looking at what flavor-imparting molecules their ingredients contain, the computer can come up with radical combinations. One of the IBM food truck’s current recipes, the “Swiss-Thai Asparagus Quiche,” brings together Swiss gruyère, Greek feta, and Thai curry spices. If IBM keeps churning out combos like that, it’ll give fusion cuisine a run for its money.
Those taste limitations extend beyond food, too. Consider House of Cards, the political thriller now its second season on Netflix. In creating it, Netflix was informed by existing viewer data: It knew that lots of its customers enjoyed Kevin Spacey, who plays the lead role, and a good proportion of those viewers were also fans of director David Fincher. Throw in another preference—one for political dramas—and the company knew it was the perfect show to bet on.