Overview
- Presents a variety of topics on the potential applications of AI-augmented digital twins
- Focuses on AI and digital twin technologies to furnish solutions for the current industrial revolution
- Is a comprehensive reference book for academics, researchers, postgraduate students as well as industry professionals
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 503)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Presently, we stand on the threshold of a technological revolution that will drastically change the way we live, work, and communicate with each other. By the current rate, scope, and complexity, this transformation will be as fundamental for society as any other technological paradigm change from the past. The industries which are more susceptible to change are technologically oriented industries including banking, finance, accounting, and auditing. One of the technological concepts of the technological revolution is the concept of the digital twin.
The application of digital twins and AI as paired with Internet of Things technologies makes it possible to solve ESG problems on a completely different level (Li, 2019) for accounting firms and financial institutions. These include recycling on demand, rational energy consumption, smart surveillance cameras for crime tracking, and smart branch parking solutions, monitoring the wear and tear and conditions of financial technology infrastructures.Moreover, numerous researchers and practitioners emphasize the significance of innovating sustainable business models and operations (Geissdoerfer et al., 2018). The digital twin will allow businesses and financial institutions to minimize costs, boost customer service, and find new ways to generate revenue. DTW is accessible now more than ever, and many reputable and innovative companies such as Tesla, Ericsson, and Siemens have adopted it with varying success.
Therefore, this book examines the opportunities, challenges, and risks of artificial intelligence-augmented digital twins for financial operations, innovation, and sustainable development. It focuses on AI and digital twin technologies to furnish solutions for the current industrial revolution including the Metaverse. Henceforth, this book aims to encourage authors to submit multi-disciplinary chapters indicating the current scholarly challenges about the applications and potential of artificial intelligence and digital twins in accounting, finance, and banking.Keywords
Table of contents (52 chapters)
Editors and Affiliations
About the editors
Anas Ali Al-Qudah is Acting Dean of Faculty of Business and Head of Accounting and Finance Department in Liwa College of Technology, Abu Dhabi UAE. Anas does research in Accounting, Finance, Social entrepreneurship, Sustainable development, and Economic growth. Also, he is leading some special issues in the Fintech field with some ranked Journals as a guest editor, in addition to his role as a reviewer in many ranked Journals (e.g., Scopus and Clarivate Analytics). Dr Anas has a PhD from Finance Faculty, the University of Banking and Financial Sciences, Jordan. He obtained his master’s degree from Finance Faculty, University of Banking and Financial Sciences, and his bachelor’s degree in Accounting from the Faculty of Business, Muta University, Jordan. He has also supervised two PhD students in Jordan and Malaysia as a Co-Supervisor 2017, 2019respectively. Dr Anas joined some international conferences around the world; USA, Jordan, Czech Republic, Lebanon, Italy, Morocco, Algeria and Saudi Arabia. Also, he has a certificate from Keesler centre (Mississippi State-USA) as a Financial Manager 2008.
Bibliographic Information
Book Title: Artificial Intelligence-Augmented Digital Twins
Book Subtitle: Transforming Industrial Operations for Innovation and Sustainability
Editors: Abdalmuttaleb M. A. Musleh Al-Sartawi, Anas Ali Al-Qudah, Fadi Shihadeh
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-031-43490-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-43489-1Published: 20 January 2024
Softcover ISBN: 978-3-031-43492-1Due: 20 February 2024
eBook ISBN: 978-3-031-43490-7Published: 19 January 2024
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XIII, 683
Number of Illustrations: 33 b/w illustrations, 70 illustrations in colour
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Control and Systems Theory