Shyam Sunder Agrawal, PhD – Assistant Professor, Lovely Professional University, Punjab, India
Chandni Keswani, PhD – Assistant Professor, Shri Vaishnav Institute of Management and Science, Indore, India
Balamurugan Balusamy, PhD – Associate Dean Student, Shiv Nadar Institution of Eminence, Shiv Nadar University, Greater Noida, UP, India
Ahmed Alkhayyat, PhD – Assistant Professor, Islamic University, Iraq

Series: Computer Science, Technology and Applications
BISAC: COM004000; COM072000; COM059000
DOI: https://doi.org/10.52305/VDKN3733

AI-Driven Digital Twins: Transforming Industries through Virtualization is an insightful book that explores how artificial intelligence (AI) and digital twins are reshaping various industries. Digital twins create virtual models of real-world systems, allowing businesses to test ideas, improve efficiency, and make better decisions using real-time data. This book goes beyond theory and focuses on real-world applications, making it valuable for researchers, industry professionals, and policymakers. It covers key areas such as manufacturing, healthcare, finance, and even the metaverse, showing how AI and the Internet of Things (IoT) work together to improve processes and outcomes. Academicians will gain knowledge of AI-driven optimization, ethical considerations, and scalability challenges, while business leaders can explore practical ways to leverage digital twins for cost savings, fraud prevention, and business growth. Scholars and academicians can use this book to learn how AI, robotics, and data analytics are shaping the future of industries.

By highlighting both the benefits and challenges of AI-powered digital twins, this book offers valuable insights for anyone seeking to drive innovation and efficiency in the digital age. The book will significantly benefit the research community by providing a clear and practical understanding of how AI-powered digital twins shape modern industries. Researchers studying AI, IoT, and digital transformation will find valuable insights into the latest advancements in predictive analytics, real-time simulations, and decision-making tools. As industries increasingly adopt digital twins across manufacturing, healthcare, and finance, this book will help researchers explore new ways to improve accuracy, efficiency, and scalability.