<ul><li>Understanding data is crucial in AI Product Management, even if coding is not required.</li><li>Framing problems effectively is essential, requiring PMs to define goals, success metrics, and acceptable trade-offs in AI projects.</li><li>PMs are now responsible for considerations of explainability, ethics, and biases in AI products, going beyond just shipping features.</li><li>Continuous experimentation is key in AI Product Management, necessitating ongoing testing, learning, and iteration post-launch.</li></ul>

How AI Is Reshaping the Role of Product Managers

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