Too often teams think “Agile” is a single set of very specific practices centered around Scrum processes and artifacts. But in many fields the underlying conditions are so different from conventional software development projects that a narrow vision of Agile simply won’t work. The development of artificial intelligence and advanced analytics products is one example. Development teams can’t assume that users will provide useful input during most of the development process, or even that the right problem to solve has been identified. But Agile techniques can be applied to fields outside of software development if practitioners focus on the . . .