This book examines how cutting-edge technologies are transforming the way we live, work, and address some of the world’s most critical challenges. In an era marked by climate change, healthcare disparities, educational inequities, and rapid urbanization, emerging tools such as Artificial Intelligence (AI), the Internet of Things (IoT), Machine Learning (ML), and Blockchain are unlocking new possibilities for innovation and progress.
Bringing together global perspectives and practical insights, the book explores the application of these technologies across diverse sectors, including healthcare, agriculture, business, education, and smart cities. From AI-powered diagnostic tools revolutionizing medicine to IoT-driven systems enabling sustainable farming, and digital platforms reshaping learning and customer engagement, each chapter highlights how responsible innovation can empower individuals, organizations, and communities to thrive in a rapidly evolving world. The book balances technical knowledge with real-world examples and ethical considerations, addressing the social, cultural, and governance challenges necessary for fostering equitable and inclusive growth.
As part of the Advances in Emerging Markets and Business Operations series, this book will appeal to students, academics, policymakers, and readers interested in data science, AI and machine learning, sustainability, technology and innovation management, business studies, operations and supply chain management, healthcare management, and health informatics.
Table of Contents:
List of figures. List of tables. List of contributors. Preface. Introduction. 1. Artificial Intelligence Enabled Techniques in Preventive Healthcare for Viksit Bharat 2047. 2. Generative AI in Health Care: Utilizing Implementation Science in Adaptation, Integration & Governance of Generative AI in the Healthcare System. 3. Exploring Machine Learning for Food Hazard Detection: a Comprehensive Approach. 4. A Machine Learning Strategy to Identifying Key Drivers of Employee Churn. 5. IntelliTrack: a Realtime AI Based Employee Attendance and Recognition Solution. 6. Demographic Dynamics in Tech-Driven Retail: Exploring Customer Purchase Intention Amidst Emerging Technologies. 7. Creation of an Interactive In-Store Message Display System for Retail Environments. 8. Servicescape Factors Influencing the Customer's Experience and Customer Satisfaction of Coffee Shops in Australia. 9. AI-Driven Comparative Study for Predicting RUL in Energy Storage Solutions. 10. Service Quality and Customer Satisfaction in AI-Driven Banking: the Mediating Role of Process Automation. 11. Analysis of the Impact and Trends of Artificial Intelligence on the Economy Under the Background of Digital Economy. 12. Evaluating the Effectiveness of AI-Driven Personalization Strategies for Enhancing Customer Engagement in Digital Marketing. 13. Improving Driving Information Interfaceability Among Vehicles Through an Online V2V Dashboard. 14. Sustainable Solid Waste Management in Urban Landscapes: a Pathway to Competitive Eco-Cities in India. 15. The Evolving Landscape of Investment Management: Women, Technology, and Advancement. 16. AI Integration in Finance: Leadership Strategies for Driving Digital Transformation. 17. AgriFin: Agricultural Income and Expense Management. 18. An Analysis of FinTech Integration and Its Impact on Federal Bank's Performance. 19. The Future of Accounting: Integrating AI. Index.
About the Author :
Ruchi Sharma is currently serving as an Assistant Professor in MIS and Analytics at the International Management Institute, Kolkata, West Bengal, India. She brings over eight years of dedicated teaching experience in higher education. Her academic contributions include publications in reputed Scopus-indexed and ABDC-listed journals, reflecting her strong research orientation and commitment to scholarly excellence in the field.
Udit Chawla is currently serving as an Associate Professor in Business Analytics at the Institute of Engineering & Management, University of Engineering and Management, Kolkata, West Bengal, India. He is an experienced Associate Professor with a demonstrated history of working in the higher education industry. PhD in management skilled in data mining, Market research, management, management information systems (MIS), R, SPSS, SAS, and PYTHON. Strong education professional focussed in Business Analytics, machine learning and artificial intelligence. His area of interest includes data science, business analytics and business management. He has contributed to more than 50 International Scopus Indexed Journals, ABDC Journals, etc.
Rajesh Mohnot is currently serving as Professor of Finance & Head, Department of Accounting and Finance, Ajman University, Dubai, AACSB Accredited. He is an Academic, corporate consultant and trainer, administrator, and researcher with expertise in international accreditations (AACSB) and professional collaborations. He is experienced in multicultural environments across Singapore, Malaysia, UAE, and India. Delivered training programs, workshops, and seminars for bankers, corporate executives, and academics. Published author in peer-reviewed journals, magazines, and blogs. Serves as editorial board member and reviewer.
