[paraschopra]

One key fact that I wish every product manager internalizes is that data science is a technology. And like all technologies, it may or may not be applicable to particular problem. And it may or may not be best use of an organization's time to invest in that technology v/s other options.

On the marketing side, just like a marketer will never market a database upgrade to users, she shouldn't consider marketing data science / ML directly to users. Users DO NOT care about using a data science enabled feature. They want value and progress in their lives and some times you may create more value by removing a form field than by investing in and delivering a data science project.

So use good business sense balance investment v/s reward for evaluating data science projects. I wrote about this here: https://growth.wingify.com/what-you-need-to-know-before-you-...