In today’s “AI for Everyone” video, I went through a section on a framework you can use to figure out what AI projects are worth pursuing in a business (rather than research) setting. The framework is simple. Before taking on a project, you work to answer two questions:
(1) Is this AI project feasible?
(2) Is this project valuable?
The first question involves technical due diligence and figuring out whether AI can actually accomplish a particular goal with sufficient performance.
The second question involves business diligence and ascertaining the value an AI project can create, whether that’s financial or otherwise.
Sometimes you know the answers to these questions right away. At other times, you have to build and test proofs-of-concept to get closer to a meaningful answer.