Mastering AI Innovation

60-Day Proof of Impact Blueprint
1. Auflage 2027
ISBN: 978-1-041-43955-4
Verlag: CRC Press

Buch, Englisch, 208 Seiten, Format (B × H): 156 mm x 234 mm

Mastering AI Innovation: 60-Day Proof of Impact Blueprint addresses a growing challenge in an AI-driven economy: determining which innovations deserve investment and can generate meaningful economic impact for the organization. Artificial intelligence has made it easier than ever to develop impressive solutions, but not necessarily ones that deliver measurable value. As AI accelerates the development of prototypes, applications, and workflows, compelling demonstrations can generate enthusiasm before organizations can tell whether they solve meaningful problems, improve operational performance, or deliver tangible financial benefits. The book shifts the focus from building solutions faster to making better decisions about which ideas are worth pursuing.

The book introduces the 60-Day Proof of Impact Blueprint, a practical, evidence-driven methodology for evaluating innovation opportunities before committing significant resources. Through structured problem framing, assumption testing, experimentation, and operational assessment, the Blueprint helps organizations reduce uncertainty and make informed investment decisions. Its Minimum Proof of Impact model evaluates five essential dimensions: value, behavior, operations, governance, and scalability, moving beyond technical feasibility to establish credible evidence of impact under real-world conditions.

Written for product managers, technology executives, innovation leaders, transformation professionals, graduate students, and educators, the book connects strategic decision-making with practical execution. It provides tools to evaluate opportunities, allocate resources effectively, strengthen human accountability, and avoid premature investment in unproven solutions. As AI accelerates technological development, sustainable competitive advantage will depend less on execution speed and more on the quality of strategic judgment guiding innovation.

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Ng, Joseph X

Fortino, Andrés

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmensethik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Spracherkennung, Sprachverarbeitung
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Wirtschaftswissenschaften Betriebswirtschaft Management Unternehmensorganisation & Entwicklungsstrategien
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmenskultur, Corporate Governance

Inhaltsverzeichnis

1. When Delivery Becomes Cheap, Decisions Become Expensive 2. From Development-Centered to Decision-Centered SDLC 3. Why MVP Thinking Breaks at AI Speed 4. The 60-Day Proof of Impact Blueprint 5. Strategic Intake 6. Evidence Before Development 7. Minimum Proof of Impact 8. Accountability in Human-AI Work 9. Governance That Operates at AI Speed 10. When Build Is Earned 11. Authorizing Scale 12. Institutionalizing the 60-Day Proof of Impact

Über Autor(innen)

Joseph X Ng has spent more than two decades at the intersection of enterprise strategy, technology, and innovation. His experience spans executive leadership, entrepreneurship, and academia, combining strategic insight with expertise in artificial intelligence, analytics, and organizational transformation. His work focuses on navigating complexity, advancing responsible innovation, and translating ambitious ideas into disciplined execution and measurable business and societal impact.

Andrés Fortino is a technology and innovation thought leader with more than fifty years of experience in industry and academia. An inventor, educator, consultant, and author of twelve books and numerous publications, his work spans innovation, technology management, intellectual property, data analytics, artificial intelligence, and higher education.