Product Management in AI-ML
<p>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.</p>
<p>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.</p>
<p>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. :)</p>
<p><strong>Contents:</strong><br />
1. What is Product Management<br />
2. PM in ML/AI — Be Strategic<br />
3. PM responsibilities in complete ML Life Cycle<br />
Scoping → Data → Modeling → Validation → Deployment<br />
4. Additional comments<br />
5. Tools and techniques</p>
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