The intersection of artificial intelligence (AI) and digital twin technology presents a problem and an unparalleled opportunity for transformation. Businesses grapple with the need for operational excellence, innovation, and a competitive edge, all while navigating the intricate web of data analytics, decision-making, and real-time monitoring.

In response to these challenges, Harnessing AI and Digital Twin Technologies in Businesses emerges as an example of insight and guidance, offering a comprehensive exploration of the complementary connection between AI and digital twin technology. In a world where the convergence of these powerful tools transforms business intelligence, enabling initiative-taking decision-making and dynamic simulations. This book serves as a solution for decision-makers, technologists, and researchers seeking to not only understand but harness the potential of AI-powered digital twins to enhance productivity, creativity, and judgment in their operations.

Tailored for a diverse audience, from business leaders to academics, the book delves into critical topics such as AI-driven data analytics, real-time monitoring and control, cybersecurity, and ethical considerations in AI-powered digital twin environments. As we address challenges such as integration, scalability, and return on investment, our work becomes a roadmap for the adoption of AI and digital twin technologies, providing actionable insights and strategies.

In a world where the convergence of AI and digital twins unlocks unprecedented possibilities, Harnessing AI and Digital Twin Technologies in Businesses brings a solution to empower businesses across industries. From innovative applications to case studies, it provides a roadmap for overcoming challenges and navigating the transformative landscape of AI and digital twin synergy. Join us on this transformative journey, where knowledge meets empowerment, and businesses seize the future with confidence and strategic foresight.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence Driven Data Analytics
Convergence of AI and Digital Twin in Business
Creating Digital Twins for Enterprises
Cybersecurity in Digital Twin Environments
Data Security and Privacy
Digital Twin Adoption
Enhancing Decision-Making with Predictive Analytics
Ethical Considerations in Digital Twin Environments
Innovative Applications in AI and Digital Twin Synergy
Integration, Scalability, and ROI
Optimizing Business Processes
Real-Time Monitoring and Control

Table of Contents

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Editor/Author Biographies

Sivaram Ponnusamy is a Professor from the School of Computer Science and Engineering, Sandip University, Nashik, Maharashtra, India. He received his Ph.D. in Computer Science and engineering from Anna University, Chennai, India, in 2017. ME in Computer Science and Engineering from Anna University, Chennai, India, in 2005, MBA in Project Management from Alagappa University, India, in 2007, and BE in Electrical and Electronics Engineering from Periyar University, India, in 2002. His research of interest includes Social Welfare Computer Applications’ Optimization, Artificial Intelligence, VANET, and Mobile Applications.

Mansour Assaf (M'02) received the Honors degree in applied physics from the Lebanese University, Beirut, Lebanon, and the B.A.Sc., M.A.Sc., and Ph.D. degrees in electrical and computer engineering from the University of Ottawa, Ottawa, ON, Canada.,From 2003 to 2006, he was with the Sensing and Modeling Research Laboratory, University of Ottawa, as a Research Fellow. He is currently an Assistant Professor of information technology and communications with the University of Trinidad and Tobago, Arima, Trinidad and Tobago. His research interests include computer architecture, computer networks, fault-tolerant computing, and fault diagnosis in mixed-signal systems, including system-on-chip design and test. He has published 12 journal papers and over 20 conference articles.,Dr. Assaf is a member of the IEEE Computer Society and the Canadian Mathematical Society. He served as a session Cochair of a number of international conferences on computing techniques and has been a reviewer of several internationally known journals such as the IEEE Transactions on Instrumentation and Measurement and the IASTED Journal of Computers and Applications.(Based on document published on 12 May 2008).

Jilali Antari is a Professor in the Department of Mathematics and Computer Science and a member of Computer Systems Engineering, Mathematics and Application (ISIMA) Laboratory at the Polydisciplinary Faculty of Taroudant, Ibn Zohr University, Morocco. He has published several papers in international journals. Reviewer in many international journals and he is currently a supervisor of several research works.

Satyanand Singh earned his M.E. and Ph.D. degrees in Electronics & Communication Engineering from NIT Rourkela and Jawaharlal Nehru Technological University, Hyderabad (India), in 2002 and 2016 respectively. Dr. Satyanand Singh has two years of post-doctoral research experience with the University of South Pacific Fiji. Presently, he is working with Fiji National University, Fiji, College of Engineering, Science, & Technology, as an Associate Professor in the School of Electrical & Electronics Engineering. His primary research interests include speaker recognition, robust speech modeling, feature extraction, pattern recognition, biometrics, and 5G antenna design. Dr. Satyanand Singh is a fellow member and chartered engineer of the Institution of Engineers India. Recently, he received a professional membership from the Fiji Institution of Engineers.

Swaminathan Kalyanaraman worked as a teaching faculty in University College of Engineering Pattukkottai (Anna University). He has more than 10 teaching experience. The area interest is VLSI, Reconfigurable computing, networking, IoT, WSN. He published more than 15 research papers in various national and international journals. He is a member of various international technical bodies like ESRII, IFERP, Internet Society IEI, ISTE, IAENG.

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