In the modern and data-driven business landscape, organizations face an increasingly complex challenge: how to harness the power of Artificial Intelligence (AI) and digital twin technology to stay competitive and relevant. This challenge is exacerbated by the rapid evolution of these technologies and the urgent need for businesses to adapt. AI continues to advance in areas such as language comprehension, pattern recognition, decision-making, and experiential learning, while digital twins are transforming into electronic replicas of real-world entities. Consequently, businesses grapple with the complexities of navigating this transformative convergence.

Digital Twin Technology and AI Implementations in Future-Focused Businesses addresses the pressing issue of how AI and digital twin technology are altering the very fabric of business operations. It delves into the profound implications for productivity, creativity, and decision-making in organizations across diverse industries. Staying ahead of the technical curve is crucial, and this book equips readers with the knowledge and insights needed to thrive in this evolving business landscape.

As the book unfolds, it takes a deep dive into the potential solutions that AI-powered digital twins offer. It explores how these technologies streamline processes, automate jobs, and analyze vast volumes of data in real-time, leading to smarter and more informed business decisions. With chapters dedicated to topics like real-time monitoring, cybersecurity, and ethical considerations, it provides a holistic view of the challenges and opportunities presented by this convergence. This comprehensive guide serves as a roadmap, guiding decision-makers, technologists, researchers, and the broader audience on a transformative journey towards operational excellence, innovation, and competitive advantage.

Coverage:

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

Artificial Intelligence
Business Challenges
Decision-Making
Digital Twin Technology
Evolution and Innovation of Business Models
Technology Applications in Business
Technology Convergence

Reviews & Statements

Digital Twin Technology and AI Implementations in Future-Focused Businesses is not just a book; it's a comprehensive exploration of cutting-edge AI techniques in the context of modern business models. Within its chapters, readers will find a treasure trove of insights into the dynamic intersection of technology and business. The compilation serves as a roadmap for understanding and implementing AI strategies, with each chapter delving into specific facets of its application.

In this anthology, my contribution leads the readers through the practical realm of AI-driven communication solutions. My paper, "AI-Driven Speech Sign Converter for Business: Improving Communication and Collaboration," stands as a testament to my expertise in algorithm development and model training. It's more than just a chapter; it's a showcase of the innovation and dedication required to propel the AI and machine learning domain forward.

As we navigate the ever-evolving technological landscape, this book becomes a guiding light, offering a personal touch to the exploration of AI's role in future-focused enterprises. My hope is that my contribution equips readers with not just theoretical knowledge but practical, impactful insights to drive success in this dynamic intersection of business and technology.

– Harddik Bafna

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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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