Setting AI Projects Up for Success

Unfortunately, you can’t set up your organization’s artificial
intelligence projects like just any other IT project. By their
nature, AI endeavors are quite different and suffer high failure
rates. But there are proven approaches you can take to increase
your odds of success. Iavor Bojinov, assistant professor at Harvard
Business School and former LinkedIn data scientist, breaks down
five critical steps for an AI project to turn into an effective
product: selection, development, evaluation, adoption, and
management. He’s the author of the HBR article “Keep Your AI
Projects on Track.”