The AI Era CTO

Leadership, Strategy, and Innovation in the Age of Intelligent Technologies
Erscheinungsjahr 2027
ISBN: 978-3-032-31959-3
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 207 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Management for Professionals

This book offers a guide to the evolving role of the Chief Technology Officer (CTO) in the age of artificial intelligence, providing practical tools for navigating leadership, innovation, and product development in AI-driven organizations. It begins by exploring how CTO responsibilities are shifting in response to AI, highlighting the growing complexity of technology decision-making, the need for cross-functional collaboration, and the organizational changes required to support AI initiatives. The book then examines the development and implementation of technology roadmaps as essential tools for strategic alignment, resource planning, and risk management, illustrated through case studies on autonomous driving and smart 3D cameras. Finally, it addresses the full lifecycle of AI product development, including data-driven optimization, collaborative software-hardware integration, and the structuring of high-performing R&D teams. Topics such as talent recruitment, agile methodologies, commercialization strategies, and emerging AI trends are incorporated throughout.

Zielgruppe

Popular/general

Autoren/Hrsg.

Ren, Jianfeng

Han, Junwei

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

Chapter 1: The evolution of the CTO role in AI.- Chapter 2: Technical Leadership vs Business leadership.- Chapter 3: Bring The Organization With You.- Chapter 4: The Ethics Halo Earning Trust.- Chapter 5: How To Build A Roadmap.- Chapter 6: Genesis of GenAI in Business.- Chapter 7: Applying AI Strategy Across Industries.- Chapter 8: Capstone Case Study: Architecting the AI-Native Product Lifecycle.- Chapter 9: Prospects – How CTOs Can Lead the AI Revolution.

Über Autor(innen)

Jianfeng Ren is a seasoned technology leader at Google, where he spearheads cross-continental teams in delivering next-generation camera products powered by AI technologies. With over a decade of experience at Qualcomm and Huawei, he has led numerous projects in computer vision and machine learning, pushing the boundaries of mobile imaging innovation. Dr. Ren is passionate about using his technical and strategic experience to bridge the gap between engineering and executive vision.

Junwei Han is a Professor in the School of Automation, Northwestern Polytechnical University (Xi'an, China). His research interests include artificial intelligence and pattern recognition. Dr. Han has published more than 150 papers in scholarly journals and more than 50 papers in top conferences. He is an Associate Editor for several international journals including and .