AI-Powered Product Management
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AI-Powered Product Management, Apress
Transforming Product Strategy and Execution with Artificial Intelligence
Von Akshay Mathur, im heise shop in digitaler Fassung erhältlich
Produktinformationen "AI-Powered Product Management"
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 Learn
- Seamlessly 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.
Artikel-Details
- Anbieter:
- Apress
- Autor:
- Akshay Mathur
- Artikelnummer:
- 9798868829376
- Veröffentlicht:
- 21.09.26
Barrierefreiheit
This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility. It includes screen reader support, descriptions for Non-text content (such as images and graphs), bookmarks
- entspricht den Vorgaben der PDF / UA 1 (05)
- nicht oder eingeschränkt barrierefrei (09)
- keine Vorlesefunktionen des Lesesystems deaktiviert (bis auf) (10)
- navigierbares Inhaltsverzeichnis (11)
- logische Lesereihenfolge eingehalten (13)
- kurze Alternativtexte (z.B für Abbildungen) vorhanden (14)
- Inhalt auch ohne Farbwahrnehmung verständlich dargestellt (25)
- hoher Kontrast zwischen Text und Hintergrund (26)
- Navigation über vor-/zurück-Elemente (29)
- alle zum Verständnis notwendigen Inhalte über Screenreader zugänglich (52)
- Kontakt zum Herausgeber für weitere Informationen zur Barrierefreiheit (99)