Reshaping intelligent business and industry : convergence of AI and IoT at the cutting edge

• Other Authors: Dalal, Surjeet (Editor), Dahiya, Neeraj (Editor), Jaglan, Vivek, Koundal, Deepika, Le, Dac-Nhuong
• Format: Electronic eBook
• Language: English
• Published: Hoboken, NJ : Beverly, MA : John Wiley & Sons, Inc. ; Scrivener Publishing LLC, 2024.
• Subjects: Artificial intelligence > Industrial applications.; elektronické knihy; electronic books
• ISBN: 9781119905202; 9781119905196; 9781119905189; 9781119904878
• Physical Description: 1 online zdroj (641 stran)
• Item Description: Description based upon print version of record.; 5.2.2 AI Technology for Use in Law Firms
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

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.