Company Digital Twins: Emerging Trends, Technologies, and Applications

· Elsevier
Ebook
400
Pages
Eligible

About this ebook

Company Digital Twins, a new volume in the Advances in Digital Twin Computing and Sensor Networks series, explores virtual companies based on digital twin technologies. The book covers foundational concepts, emerging trends, underlying technologies, practical applications, future directions, data security, privacy concerns, integration issues, and the scalability of digital twins across large companies. It is essential reading for anyone who needs to benefit from the capabilities of digital twins within the organization. The timeliness of this book lies in the rapid, current digital transformation and the increasing complexity of systems requiring real-time, intelligent management to achieve competitive advantages and sustainability goals.The concept of the digital twin, a virtual representation of a physical system, has gained significant attention due to advancements in Artificial Intelligence, Internet of Things, and data analytics. It plays a crucial role in enhancing efficiency, sustainability, and decision-making across industries, such as manufacturing, healthcare, and urban planning. - Discusses how companies use digital twins for real-time decision-making and strategic foresight - Covers sectors that are embracing this technology, including manufacturing, healthcare, smart cities, agriculture, transportation, retail, etc. - Highlights trends in digital twin applications for improving efficiency, sustainability, and innovation in companies - Explores technological components such as Internet of Things, Artificial Intelligence, big data analytics, blockchain, and cloud computing - Examines challenges such as data security, integration complexity, and scalability, and offers insights into future developments
Company Digital Twins, a new volume in the Advances in Digital Twin Computing and Sensor Networks series, explores virtual companies based on digital twin technologies. The book covers foundational concepts, emerging trends, underlying technologies, practical applications, future directions, data...

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About the author

Dr. Joseph Bamidele Awotunde is a Lecturer in the Department of Computer Science, Faculty of Communication and Information Sciences, University of Ilorin, Ilorin, Nigeria. His area of research interest cut across Artificial Intelligence, Internet of Things, Cybersecurity, Information Security, Social Computing, Bioinformatics, and Biometrics. He has to his credit over one hundred and fifty publications in reputable outlets like Elsevier, Springer, Hindawi among others covering journals, edited conference proceedings and chapters in books. He was part of the team that won the Artificial Intelligence for Females in Science Technology, Engineering and Mathematics (AI4FS) Grant sponsored by Royal Academy of Engineering (Higher Education Partnerships in sub-Saharan Africa (HEP SSA) 22/24). He is an Associate Editor of the PLOS ONE, and IEEE Transactions on Neural Systems & Rehabilitation Engineering. He is also a member of many professional bodies within and outside Nigeria such as International Association of Engineers and Computer Scientist (MIAENG), Computer Professional Registration Council of Nigeria (MCPN), and Nigeria Computer Society (MNCS). Internet Society.

Dr. Joseph Bamidele Awotunde is a Lecturer in the Department of Computer Science, Faculty of Communication and Information Sciences, University of Ilorin, Ilorin, Nigeria. His area of research interest cut across Artificial Intelligence, Internet of Things, Cybersecurity, Information Security, So...

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