1st Edition
Charting the AI Transition in Education and Business Environments Navigating the Generative Inflection Point for Industry 4.0 Success
This book delineates a comprehensive framework designed to ultimately assist organizations as they navigate the critical juncture—often termed the inflection point—in adopting generative Artificial Intelligence (AI). Addressing the exigent shift in organizational strategy mandated by Industry 4.0, and urging a transition from mere digital transformation to what is being progressively understood as "generative transformation”, it fills a conspicuous lacuna in both academic and practical discourses by presenting a timely synthesis of research, empirical studies, and case analyses. The authors utilise an interdisciplinary methodology, bridging the epistemological divide between the technological intricacies of generative AI and its effective implementation within institutional frameworks. Reorienting the focus of organizational leaders from a simplistic replacement paradigm to one of technological-human augmentation, it works towards a prescriptive blueprint for enabling organizations to adopt generative AI without compromising their most valuable asset: human intellectual and emotional capital. Fostering interdisciplinary dialogue among academics, industry professionals, and policymakers, it fills a critical gap in current discourses and serving as a catalyst for future research and collaboration.
List of Tables
About the Authors
Preface
Acknowledgements
1. Introduction: The Generative Inflection Point
1.1 Defining Generative AI: Scope and Potential
1.2 From Machine Learning to Generative Models: An Evolutionary Path
1.3 Revisiting Early AI Predictions: Expectations vs. Reality
1.4 Overcoming Adoption Barriers: Technical and Societal Hurdles
1.5 Ethical Considerations and Societal Impact
1.6 Embracing AI: Towards a Collaborative Future
1.7 Overview of the Manuscript
2. Digital Transformation: Bridging Industry and Education
2.1 The Origins of Digital Transformation
2.2 Digital Milestones: From the Internet to Big Data
2.3 The Current Landscape: Industry and Educational Systems
2.4 Leveraging Data Science for Strategic Insights
3. Generative Transformation in the Age of Industry 4.0
3.1 Fundamentals of Generative AI
3.2 Future Trends: The Trajectory of Generative AI
3.3 Readiness and Resilience: Tools for Assessment
3.4 Economic Aspects: Investments and Returns
4. Strategic Leadership and Governance
4.1 Leadership in AI Strategy Implementation
4.2 Synchronizing AI with Organizational Goals
4.3 Risk and Reward: Navigating the AI Landscape
4.4 Case Studies from the Field
5. Organizational Culture and Skill Development
5.1 Formulating AI Use Policies
5.2 Cultivating an AI-Ready Culture
5.3 Change Leadership and Disruptive Innovation
5.4 Skills for the Future: Training and Development
5.5 Evaluating Professional Development Initiatives
6. Conclusion: Embracing the AI Future
6.1 Reflecting on AI’s Unmet Expectations
6.2 Leadership for the Next Technological Frontier
Appendices
Biography
James Hutson is Professor and Department Head of Art History, AI, and Visual Culture at Lindenwood University, USA.
TJ Rains is Vice President of Information Technology and Chief Information Officer at Lindenwood University, USA.
