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Reshaping Intelligent Business and Industry

Convergence of AI and IoT at the Cutting Edge
BuchGebunden
640 Seiten
Englisch
Wiley & Sonserscheint am09.12.20241. Auflage
The convergence of Artifâicial Intelligence (AI) and Internet of Things (IoT) is reshaping the way industries, businesses, and economies function; the 34 chapters in this collection show how the full potential of these technologies is being enabled to create intelligent machines that simulate smart behavior and support decision-making with little or no human interference, thereby providing startling organizational efficiencies. Readers will discover that in Reshaping Intelligent Business and Industry: The book unpacks the two superpowers of innovation, AI and IoT, and explains how they connect to better communicate and exchange information about online activities; How the center and the network´s edge generate predictive analytics or anomaly alerts;The meaning of AI at the edge and IoT networks. How bandwidth is reduced and privacy and security are enhanced;How AI applications increase operating efficiency, spawn new products and services, and enhance risk management;How AI and IoT create intelligent´ devices and how new AI technology enables IoT to reach its full potential;Analyzes AIOT platforms and the handling of personal information for shared frameworks that remain sensitive to customers´ privacy while effectively utilizing data. Audience This book will appeal to all business and organization leaders, entrepreneurs, policymakers, and economists, as well as scientists, engineers, and students working in artificial intelligence, software engineering, and information technology.mehr
Verfügbare Formate

Produkt

KlappentextThe convergence of Artifâicial Intelligence (AI) and Internet of Things (IoT) is reshaping the way industries, businesses, and economies function; the 34 chapters in this collection show how the full potential of these technologies is being enabled to create intelligent machines that simulate smart behavior and support decision-making with little or no human interference, thereby providing startling organizational efficiencies. Readers will discover that in Reshaping Intelligent Business and Industry: The book unpacks the two superpowers of innovation, AI and IoT, and explains how they connect to better communicate and exchange information about online activities; How the center and the network´s edge generate predictive analytics or anomaly alerts;The meaning of AI at the edge and IoT networks. How bandwidth is reduced and privacy and security are enhanced;How AI applications increase operating efficiency, spawn new products and services, and enhance risk management;How AI and IoT create intelligent´ devices and how new AI technology enables IoT to reach its full potential;Analyzes AIOT platforms and the handling of personal information for shared frameworks that remain sensitive to customers´ privacy while effectively utilizing data. Audience This book will appeal to all business and organization leaders, entrepreneurs, policymakers, and economists, as well as scientists, engineers, and students working in artificial intelligence, software engineering, and information technology.
Details
ISBN/GTIN978-1-119-90487-8
ProduktartBuch
EinbandartGebunden
Erscheinungsjahr2024
Erscheinungsdatum09.12.2024
Auflage1. Auflage
Seiten640 Seiten
SpracheEnglisch
Artikel-Nr.58949966

Autor

Surjeet Dalal, Ph.D., obtained a Ph.D. from Suresh Gyan Vihar University Jaipur in 2014. Heis an associate professor in the Department of Computer Science & Engineering, SRM University, Haryana, India. His current research area is artificial intelligence, cloud computing, and IoT. He has published two books on cloud computing and IoT. He is a member of various professional and research committees.


Neeraj Dahiya, Ph.D., completed a Ph.D. in computer science & engineering from MDU Rohtak and SRM University. He is an assistant professor in the Department of Computer Science & Engineering, SRM University, Haryana, India. His major research interests are artificial intelligence, deep learning & machine learning, artificial neural networks, speech processing, and image processing. He has published a total of 35 research papers and has four patents in the application of artificial intelligence and machine learning.


Vivek Jaglan, Ph.D., received his Ph.D. from Suresh Gyan Vihar University, Jaipur, in 2012. He is a professor at the DPG Institute of Technology and Management, Haryana, India.His current research area is artificial intelligence, neural networks, fuzzy logic, and IoT. He has over 30 published papers in national and international journals. He has published one book on cloud computing.


Deepika Koundal, Ph.D., obtained a Ph.D. in computer science & engineering from Panjab University, Chandigarh, in 2015. She is an assistant professor at the University of Petroleum & Energy Studies, Dehradun, India. Her areas of interest are artificial intelligence, biomedical imaging and signals, image processing, soft computing, etc. She was awarded the Research Excellence Award given by Chitkara University in 2019. She has published over 40 research articles and authored two books.


Dac-Nhuong Le, Ph.D., obtained his Ph.D. in computer science from Vietnam National University, Vietnam, in 2015. He is deputy head of the Faculty of Information Technology, Haiphong University, Vietnam. His area of research includes evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, IoT, and image processing in biomedicine. He has over 50 publications and has edited/authored 15 computer science books.
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