AI, Innovation and Global Transformation: Interdisciplinary Perspectives on Technology, Business and Society
AI, Innovation and Global Transformation: Interdisciplinary Perspectives on Technology, Business and Society
Editors: Dr. J. Preetha, and Dr. Siddhartha Mehrotra
ISBN: 978-81-69857-64-2
DOI: https://doi.org/10.59646/809
Date of Publication: September 07, 2026
Cite this book: Preetha J, and Siddhartha M, (2026), AI, Innovation and Global Transformation: Interdisciplinary Perspectives on Technology, Business and Society, San International Scientific Publications, ISBN: 978-81-69857-64-2, DOI: https://doi.org/10.59646/809
Chapters and Authors
Chapter 2: Generative AI and Autonomous Content Creation Technologies – Deva Kirupa Dani D
Chapter 3: Artificial General Intelligence (AGI): The Evolution Beyond Narrow AI – S. Chandrasekar
Chapter 7: AI–Quantum–Bio Convergence: Building the Intelligent Ecosystems of the Future – N Pushpa
Chapter 9: Quantum Internet and Ultra-Secure Communication Networks – Dr. Sonia H Bajaj
Chapter 11: Edge Intelligence and TinyML for Autonomous Digital Ecosystems – Dr. P. Deepa
Chapter 12: Brain–Computer Interfaces and Neural Communication Technologies – Dr. R. Vijayalakshmi
Chapter 14: Industry 5.0 and Human–Robot Collaboration in Smart Manufacturing – Dr. K. BabuRaja
Chapter 15: Generative Design and AI-Assisted Engineering Product Development – Dr. L. Jayakumar
Chapter 16: Smart Sensors and IoT-Based Condition Monitoring of Industrial Machinery – S. Sivakumar
Chapter 21: AI-Enabled Human Resource Management in the Intelligent Workplace – K Yamini Bhargavi
Chapter 23: Digital Leadership and Organizational Transformation – Dr. G. Pandi Selvi
Chapter 24: Intelligent Supply Chain Management and Predictive Operations – Dr. G. Pandi Selvi
Chapter 28: Deep Learning for Computer Vision and Intelligent Image Analytics – E. Priya
Chapter 29: Ambient Intelligence and Invisible Computing Environments – R. Kokila Devi
Chapter 30: Language, Identity and Communication in the Digital Age – V.G. Benila Selva Vincy
Preface
Artificial Intelligence has emerged as one of the most influential forces shaping the technological, economic, organizational, and social landscape of the twenty-first century. Its rapid evolution from specialized computational systems to generative, multimodal, autonomous, and increasingly intelligent platforms is transforming the ways in which people interact with technology, organizations innovate, industries operate, and societies address complex global challenges. The book AI, Innovation and Global Transformation: Interdisciplinary Perspectives on Technology, Business and Society brings together diverse perspectives on these developments and examines how emerging technologies can contribute to a more intelligent, connected, adaptive, and human-centered future.
The volume presents a broad interdisciplinary exploration of artificial intelligence and its convergence with several transformative technologies. The opening chapters examine Extended Reality (XR), spatial computing, generative AI, Artificial General Intelligence (AGI), quantum intelligence, and AI–quantum–bio convergence, highlighting the transition toward increasingly immersive, autonomous, and interconnected intelligent systems. The discussion is further extended to 6G and terahertz communications, quantum internet, edge intelligence, TinyML, brain–computer interfaces, and advanced digital ecosystems. These technologies collectively demonstrate how computational intelligence is moving beyond conventional centralized systems toward distributed, high-speed, secure, context-aware, and human–machine collaborative environments.
The book also emphasizes the role of AI and emerging technologies in engineering and industrial transformation. Chapters addressing digital twins, Industry 5.0, human–robot collaboration, generative design, smart sensors, IoT-based condition monitoring, predictive maintenance, and next-generation semiconductor technologies illustrate how intelligent systems are redefining product development, manufacturing, infrastructure, and industrial decision-making. The integration of AI with advanced materials, semiconductor architectures, and high-performance computing further demonstrates the importance of technological convergence in building the computational foundations required for future intelligent applications. Beyond technology and engineering, the volume considers the organizational and economic dimensions of global transformation. AI-enabled marketing, finance and digital commerce, intelligent human resource management, digital leadership, organizational transformation, and intelligent supply chain management demonstrate how artificial intelligence is influencing business strategy, workforce practices, operational efficiency, and decision-making. These developments also raise important questions concerning human–AI collaboration, adaptability, leadership, responsible innovation, and the changing nature of work in intelligent workplaces. An important strength of this volume is its recognition that technological transformation must remain connected to human knowledge, culture, communication, and well-being. The inclusion of traditional physiological perspectives alongside modern medical science, as well as discussions on language, identity, and communication in the digital age, broadens the scope of the book beyond purely technological considerations. Deep learning for computer vision, ambient intelligence, multimodal AI, and human-centered computing further emphasize the importance of designing intelligent systems that can understand diverse forms of information and interact naturally with people.
This book is intended for researchers, academicians, educators, technology professionals, industry practitioners, students, policymakers, and readers interested in understanding the rapidly evolving relationship between artificial intelligence, innovation, and global transformation. By bringing together contributions from technology, engineering, business, healthcare, communication, and interdisciplinary research, the volume seeks to encourage knowledge exchange and stimulate new directions for research and application. Ultimately, AI, Innovation and Global Transformation reflects the view that the future of intelligence will not be shaped by AI alone, but by the convergence of intelligent technologies with human creativity, institutional innovation, scientific knowledge, and societal needs.