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Akshay Mathur
AI-Powered Product Management: Transforming Product Strategy and Execution with Artificial Intelligence
AI-Powered Product Management: Transforming Product Strategy and Execution with Artificial Intelligence
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- More about AI-Powered Product Management: Transforming Product Strategy and Execution with Artificial Intelligence
Given the accelerated adoption of artificial intelligence across industries, there is a driving need to address the critical gap between traditional product management methodologies and contemporary, AI-enhanced practices. This structured, comprehensive guide is specifically designed for aspiring and early-career product managers who wish to leverage AI tools to master product management effectively. Structured into four distinct parts, AI-Powered Product Management introduces foundational PM concepts before diving into practical applications of AI in market research, product strategy, road mapping, requirement gathering, and growth strategies. It uniquely incorporates illustrative case studies, such as the development and iteration of a fictional mobile app, and guides readers through real-world scenarios enhanced by AI-driven insights. The book concludes with focused sections on how readers can leverage AI to effectively prepare for and excel in PM interviews, providing them with a decisive advantage in competitive job markets. What You Will LearnSeamlessly integrate AI into core product management tasks such as market research, strategy formulation, prioritization, and feature development. Techniques for utilizing AI-powered tools to significantly improve decision-making efficiency, product innovation, and user experience. Methods for crafting compelling product requirement documents (PRDs), roadmaps, and user stories with AI assistance. Who This Book Is ForAspiring product managers, junior PMs, professionals transitioning from engineering, marketing or business roles into product management, MBA students, career changers exploring product management, and existing PMs seeking to integrate AI into their workflows for enhanced efficiency and strategic decision-making.
- Publication date: 19 September 2026
- Page count: 749
- Dimensions: Height 235 mm; Width 155 mm
- Publisher: APress
- Format: Paperback
- ISBN-13: 9798868829369
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