A pattern I see in many short-lived ML projects is that the data scientists become too focused on hacking ML metrics without paying attention to business metrics. Their managers, however, only care about business metrics and, after failing to see how an ML project can help push their business metrics, kill the projects prematurely (and possibly let go of the data science team involved).
