Navigating AI Transformation

Business Innovation, Strategy, and Risk
Erscheinungsjahr 2026
ISBN: 978-3-032-28869-1
Verlag: Springer

Buch, Englisch, 584 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Advances in Data Analytics, AI, and Smart Systems

Artificial intelligence is no longer a standalone technology. It is reshaping how organizations operate, compete, and create value. Yet most firms remain stuck at early stages of adoption, focusing on isolated use cases rather than true transformation.

This book provides a structured, actionable framework to help leaders move beyond experimentation toward enterprise-wide impact. Built around a four-level model consisting of Automation, Personalization, Operational Innovation, and Business Model Innovation, the book offers a clear roadmap for how AI can drive measurable value across different stages of organizational maturity.

Drawing on real-world cases across industries, each chapter demonstrates how leading organizations are applying AI in practice, from improving efficiency and customer experience to redesigning core operations and creating entirely new business models. These examples are grounded in concrete outcomes, enabling readers to understand not only what works, but why.

A defining feature of the book is its integrated approach to risk and governance. Each case is accompanied by a structured analysis combining PwC’s auditing risk framework (financial, operational, and reputational risks) with legal and regulatory perspectives. This dual lens equips decision-makers to scale AI responsibly while navigating increasing scrutiny around compliance, accountability, and trust.

Designed for business leaders, AI strategists, and legal professionals, this book bridges the gap between technical possibility and organizational reality. It provides practical tools, strategic insights, and a disciplined framework to help organizations capture the value of AI, while managing its risks.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Hu, Kejia

Lam, Sum

Wu, Tian

Shi Da Xu, Jasper

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Rechtswissenschaften Wirtschaftsrecht
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

Preface.- Introduction: Why AI Adoption Does Not Equal AI Transformation.- Legal Perspective: The Algorithmic Trinity: Legal Frameworks for AI Inputs, Systems, and Outputs.- Manufacturing.- Logistics and Supply Chain.- Technology.- Media, Gaming and Entertainment.- Energy and Utilities.- Professional Services.- Agriculture/AgTech.-  Education/EdTech.- Telecommunications & Connectivity.- General Administration.- Retail and E-commerce.- Automotive.- Healthcare Systems.- Pharmacy & Distribution.- Consumer Health & Wellness.- Banking & Financial Services.- Insurance & Risk Services.- Fintech, DeFi & Embedded Intelligence.

Über Autor(innen)

Dr. Kejia Hu is an Associate Professor at Saïd Business School, University of Oxford, and Founding Director of the Human-AI Interaction (HAI) Lab. Her work focuses on how organizations transform through AI, combining insights from human–algorithm collaboration, service system design, and data-driven decision-making. She is the Program Director of the Diploma in AI for Business (DipAI), where she leads executive education on AI strategy and transformation for global business leaders. Her research and industry collaborations—spanning Fortune 500 companies and leading technology firms—examine how AI reshapes organizational processes, decision-making, and value creation. Dr. Hu’s work has been published in top-tier journals and widely recognized for bridging academic rigor with practical relevance in AI innovation, governance, and risk.

Sum Lam studied science at The Chinese University of Hong Kong (BSc) and Harvard Medical School (MSc), business at the University of Oxford (EMBA), and law at Tsinghua University (JD), King’s College London (MA), and the University of California, Berkeley (LLM, Dean’s List). He is a global lawyer admitted to practise in the United States (Washington State and Federal Courts), England & Wales (Solicitor Advocate, Civil and Criminal Proceedings), Ireland (Solicitor), and China (Attorney-at-Law). A seasoned patent attorney, he has specialised in technology law for more than two decades. Six of his cases were selected by tribunals and courts, including the Supreme Court, as “Case of the Year”. As a jurist and scholar, he has authored seven scholarly works primarily focused on technology law, including contributions to the Halsbury’s Laws series. He currently serves as Chairman of the Hong Kong Chinese Patent Attorneys Association (HKCPAA), Vice-President of the Hong Kong Institute of Patent Attorneys (HKIPA), and Head of Patents (Greater China) at Eversheds Sutherland. He previously led the Intellectual Property and TMT practice at Squire Patton Boggs (Hong Kong).

Tian Wu , Baidu Corporate Vice President, Deputy Director of National Engineering Laboratory for Deep Learning Technology and Applications. With her leadership, Baidu AI Technology group is making efforts in developing cutting-edge technologies in Machine learning, Deep learning, Data Mining, Natural Launguge Processing, that are widely applied in Baidu products and industrial applications. Among which, PaddlePaddle is the first open-source deep learning platform in China, ranking first in the deep learning platform market in China. And the industrial level knowledge-enhanced large model ERNIE is the foundation model for the new knowledge-enhanced large model ERNIE Bot. Tian Wu has been awarded the First Prize of Scientific and Technological Progress Award of Chinese Institute of Electronics four times and won the 22nd China Patent Gold Award.

Jasper Shi Da Xu is currently the China Consulting Markets Leader and is also the Lead Partner of Global Enterprise Risk & Controls Services of PricewaterhouseCoopers. He has over 29 years of experience working in China, Canada, and the U.S., providing a wide range of assurance and advisory services, including risk consulting, internal audit, internal controls, Sarbanes-Oxley S404 advisory, and corporate governance services to multinational and Chinese companies. Recently, Jasper has been one of the key drivers of the digitalization and AI transformation of consulting service solutions. He is a member of the Chinese Institute of Certified Public Accountants (CICPA), a Certified Internal Auditor (CIA), a fellow member of the Institute of Chartered Accountants in England and Wales (ICAEW), and holds an MBA.