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

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...

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Other Authors Dalal, Surjeet (Editor), Dahiya, Neeraj (Editor), Jaglan, Vivek, Koundal, Deepika, Le, Dac-Nhuong
Format Electronic eBook
LanguageEnglish
Published Hoboken, NJ : Beverly, MA : John Wiley & Sons, Inc. ; Scrivener Publishing LLC, 2024.
Subjects
Online AccessFull text
ISBN9781119905202
9781119905196
9781119905189
9781119904878
Physical Description1 online zdroj (641 stran)

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245 0 0 |a Reshaping intelligent business and industry :  |b convergence of AI and IoT at the cutting edge /  |c edited by Surjeet Dalal... [and 4 others]. 
264 1 |a Hoboken, NJ :  |b John Wiley & Sons, Inc. ;  |a Beverly, MA :  |b Scrivener Publishing LLC,  |c 2024. 
264 4 |c ©2024 
300 |a 1 online zdroj (641 stran) 
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500 |a Description based upon print version of record. 
505 0 |a Cover -- Series Page -- Title Page -- Copyright Page -- Dedication Page -- Contents -- List of Figures -- List of Tables -- Foreword -- Preface -- Acknowledgments -- Acronyms -- Part I: Artificial Intelligence Applications -- Chapter 1 Artificial Intelligence Overview: Architecture, Applications and Challenges -- 1.1 Introduction -- 1.1.1 History of Artificial Intelligence -- 1.1.2 Components of Artificial Intelligence -- 1.1.3 Levels of Artificial Intelligence -- 1.2 Artificial Intelligence Agents -- 1.3 Artificial Intelligence Algorithms -- 1.4 Applications of Artificial Intelligence 
505 8 |a 1.4.1 Agriculture -- 1.4.2 Healthcare -- 1.4.3 Education -- 1.4.4 Banking -- 1.4.5 Opportunities and Challenges -- 1.5 Conclusion -- References -- Chapter 2 Video Analytics Using Deep Learning Models -- 2.1 Introduction -- 2.1.1 Artificial Intelligence -- 2.1.2 Deep Learning Overview and Evolution -- 2.1.3 Edge Computing -- 2.1.4 Cloud Computing -- 2.2 Video Analytics -- 2.2.1 Video Surveillance -- 2.2.2 Real-Time Video Mining and Video Monitoring -- 2.2.3 Video Analytics Functional Model -- 2.3 Object Detection and Object Tracking -- 2.3.1 Object Detection -- 2.3.2 Object Tracking 
505 8 |a 2.3.3 Role of Deep Learning in Object Tracking -- 2.3.4 Functional Model -- 2.4 Industrial Application -- 2.4.1 Healthcare -- 2.4.2 Smart City -- 2.4.3 Connected Home -- 2.4.4 Security -- 2.4.5 Sports -- 2.5 Conclusion -- References -- Chapter 3 Optimizing Search Engine for Enhancing Computing and Communication in Real-Time Systems -- 3.1 Introduction -- 3.1.1 Existing System -- 3.1.2 Problem Definition -- 3.1.3 Feasibility Study -- 3.1.4 Experimental Work -- 3.2 Literature Review -- 3.3 Requirement Specification -- 3.3.1 Search Engine Optimization -- 3.3.2 Web Analytics 
505 8 |a 3.3.3 Web Architecture Diagram -- 3.4 Testing and Validation -- 3.4.1 SEO Testing -- 3.4.2 Google Analytics Testing -- 3.4.3 Structured Data Testing -- 3.4.4 SEO Implementation -- 3.4.5 Google Analytics Implementation -- 3.4.6 Google Data Studio Implementation -- 3.4.7 Tableau Implementation -- 3.5 Result -- 3.6 Conclusion and Future Work -- References -- Chapter 4 The Need for XAI: Challenges and Its Applications -- 4.1 Introduction -- 4.2 Literature Review -- 4.3 The Need for Exploring XAI -- 4.3.1 Explain to Justify -- 4.3.2 Explain to Control -- 4.3.3 Explain to Improve 
505 8 |a 4.3.4 Explain to Discover -- 4.3.5 Challenges in XAI -- 4.4 Scope of Explanation -- 4.4.1 Local Explanation -- 4.4.2 Global Explanations -- 4.5 Differences in Research Methodology -- 4.5.1 Perturbation Based -- 4.5.2 Backpropagation- or Gradient-Based -- 4.5.3 XAI Applications -- 4.6 Conclusion -- References -- Chapter 5 Why Law Firms Need to Embrace Artificial Intelligence to Transform the Indian Legal Industry -- 5.1 Introduction -- 5.1.1 Research Methodology -- 5.1.2 Research Objectives -- 5.2 What Is Artificial Intelligence? -- 5.2.1 Modernization and Delivery of Legal Services 
500 |a 5.2.2 AI Technology for Use in Law Firms 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
588 |a Description based on online resource; title from digital title page (viewed on September 11, 2024). 
520 |a 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. 
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700 1 |a Dalal, Surjeet,  |e editor. 
700 1 |a Dahiya, Neeraj,  |e editor. 
700 1 |a Jaglan, Vivek. 
700 1 |a Koundal, Deepika. 
700 1 |a Le, Dac-Nhuong. 
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