Product Management in AI-ML

In this article, I will walk you through a complete Machine Learning Product Lifecycle and describe a Product Manager’s role in it. I do not define Product Management in too much detail. As a PM of AI-ML products, one needs to do everything that a PM does and, in addition to that, take care of specific AI/ML-related duties, which are described in this article.

The article also doesn’t dwell on different applications of ML. It assumes that the PM or a business leader has identified an application and wants to apply ML to it. I rather emphasize that finding a “real” problem is one of the most critical tasks for a PM in a Machine Learning project.

Lastly, I have aimed to be comprehensive yet consumable so that readers don’t save it on their digital memories and never get to it. Hence a few basic items will not be defined here; a quick google or a GPT search will suffice. :)

Product Management is a vast role and significantly differs from one company to another. I recently read an excellent 600-page book on Product Management called, Sacred Seven: The skills required to be a world-class PM, and I cannot compress that in this document. However, the image below from McKinsey very well generalizes what PMs do on a daily basis.

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