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. IAVOR BOJINOV: Once you’ve successfully shown in your evaluation that this product does add enough value for it to be widely deployed, and you’ve got people actually using the product, then you sort of move to that final management stage, which is all about monitoring and improving the algorithm. It’s like you’re doing something to try to get people to connect to more people, but at the same time, you’re having this long-term knock-on effect on how many jobs people are applying to and how many jobs people are getting.