The convergence of Artif?icial 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.

Surjeet Dalal, PhD, is an associate professor in the Depar?tment of Computer Science & Engineering at SR?M Universit?y, Har??yana, India. His cur?rent research areas are ar??tif??icial intelligence, cloud computing, and IoT. He has published t?wo cloud computing books and published 20+ papers in inter??national jour??nals.

Neeraj Dahiya, PhD, is an assistant professor in the Depar?tment of Computer Science & Engineering, SR?M University, Har?yana, India. His research areas include artificial intelligence, machine learning, speech processing, etc. Along with publishing research papers, Dahiya has four patents in artif?icial intelligence and machine lear?ning.

Vivek Jaglan, PhD, is a professor at the DPG Institute of Technology and Management, Haryana, India. His research areas include artificial intelligence, neural networks & fuzzy logic, and IoT. Jaglan has published one book on cloud computing, 30+ papers in national/international journals, and 40+ papers for national and international conferences.

Deepika Koundal, PhD, is an assistant professor at the University of Petroleum and Energy St?udies,Dehradun, India. Her areas of interest are ar???tif???icial intelligence, biomedical imaging and signals, image processing, etc. She has published two books and 40+ research papers in inter??national jour??nals.

Dac-Nhuong Le, PhD, obtained his doctorate 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 edited/authored many computer science books with the Wiley-Scrivener imprint.

---

The convergence of Artif icial 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. AudienceThis 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.