The AI-Powered Project Manager: A Practitioner's Guide

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Bol The AI-Powered Product Manager defines the role of product management in this new world of AI, documenting the skills needed for the job and bridging the gap between using and understanding AI so established practitioners can adapt to this changing environment. The AI-Powered Product Manager defines the role of product management in this new world of AI, documenting the skills needed for the job and bridging the gap between using and understanding AI so established practitioners can adapt to this changing environment. With the advent of artificial intelligence and its progressive adoption in the enterprise sector, traditional patterns and practices are rapidly evolving. This book is intentionally designed to be accessible with clear explanations of high-level theoretical AI concepts and high-fidelity technical AI concepts without dense mathematical equations or computing jargon. It uses a set of real-world, actionable case studies to demonstrate how AI can help drive improvements to established processes, such as within management, wireframe development, Use Case and Test Case formulation, metrics definition, GTM planning, and more. Written for product and program management professionals, this guide helps build fundamental AI skills that can be utilised alongside the domain and customer management expertise of successful PMs.

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The AI-Powered Product Manager defines the role of product management in this new world of AI, documenting the skills needed for the job and bridging the gap between using and understanding AI so established practitioners can adapt to this changing environment. The AI-Powered Product Manager defines the role of product management in this new world of AI, documenting the skills needed for the job and bridging the gap between using and understanding AI so established practitioners can adapt to this changing environment. With the advent of artificial intelligence and its progressive adoption in the enterprise sector, traditional patterns and practices are rapidly evolving. This book is intentionally designed to be accessible with clear explanations of high-level theoretical AI concepts and high-fidelity technical AI concepts without dense mathematical equations or computing jargon. It uses a set of real-world, actionable case studies to demonstrate how AI can help drive improvements to established processes, such as within management, wireframe development, Use Case and Test Case formulation, metrics definition, GTM planning, and more. Written for product and program management professionals, this guide helps build fundamental AI skills that can be utilised alongside the domain and customer management expertise of successful PMs.


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