Buch, Englisch, 246 Seiten, Format (B × H): 156 mm x 234 mm
Winning in Business with Superintelligent AI
Buch, Englisch, 246 Seiten, Format (B × H): 156 mm x 234 mm
ISBN: 978-1-041-19334-0
Verlag: Taylor & Francis Ltd
While headlines focus on risks and regulations associated with AI, this groundbreaking book offers business leaders what they truly need—a visionary yet practical roadmap to harness artificial intelligence as a catalyst for unprecedented human and organizational growth.
Written by a renowned neuroscientist and a pioneering tech strategist, this essential guide cuts through the noise to reveal how the most successful leaders will partner with AI to architect tomorrow's business landscape rather than merely react to it. The authors present a revolutionary perspective: AI isn't replacing humanity—it's humanity evolving. As the purest distillation of our collective wisdom, knowledge, and creativity across generations, AI offers us a mirror that reflects our potential when properly engaged. But capturing this opportunity requires our own development in parallel with technological advancement. Through detailed case studies of how successful businesses are capturing AI, actionable frameworks, and strategic insights, you'll discover how to position your organization at the forefront of the AI-human partnership revolution. It provides practical methods to develop both technological and human knowledge simultaneously and ways to create competitive advantage through intelligent business models, seeing sentience as the solution and not the problem.
While others debate theoretical risks, this book is for forward-thinking leaders looking to leverage AI to build smarter businesses that contribute to smarter societies, and shape a smarter world. This book is your invitation to join them.
Zielgruppe
Professional Practice & Development
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Organisationstheorie, Organisationssoziologie, Organisationspsychologie
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Management: Führung & Motivation
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
Weitere Infos & Material
Prologue, Part 1, Chapter 1: The Battle for AI Dominance, Chapter 2: AI Uptake Limitations in Business, Chapter 3: Users or Partners of AI, Chapter 4: Data Partnerships and Corporate Control, Part 2, Chapter 5: The Changing Nature of ‘Work’, Chapter 6: Consciousness, Identity & Sentience, Chapter 7: The Seven Accelerants of Change, Part 3, Chapter 8: AI & Web3 Level up Relationships, Chapter 9: Human-AI Symbiotic Collaboration, Chapter 10: Toward Collective Consciousness, Epilogue: The Future




