Explore the economics and technology of AI, IOT, and 5G integration
Intelligent Connectivity: AI, IoT, and 5G delivers a comprehensive technological and economic analysis of intelligent connectivity and the integration of artificial intelligence, Internet of Things (IoT), and 5G. It covers a broad range of topics, including Machine-to-Machine (M2M) architectures, edge computing, cybersecurity, privacy, risk management, IoT architectures, and more.
The book offers readers robust statistical data in the form of tables, schematic diagrams, and figures that provide a clear understanding of the topic, along with real-world examples of applications and services of intelligent connectivity in different sectors of the economy.
Intelligent Connectivity describes key aspects of the digital transformation coming with the 4th industrial revolution that will touch on industries as disparate as transportation, education, healthcare, logistics, entertainment, security, and manufacturing.
Readers will also get access to: - A thorough introduction to technology adoption and emerging trends in technology, including business trends and disruptive new applications - Comprehensive explorations of telecommunications transformation and intelligent connectivity, including learning algorithms, machine learning, and deep learning - Practical discussions of the Internet of Things, including its potential for disruption and future trends for technological development - In-depth examinations of 5G wireless technology, including discussions of the first five generations of wireless tech
Ideal for telecom and information technology managers, directors, and engineers, Intelligent Connectivity: AI, IoT, and 5G is also an indispensable resource for senior undergraduate and graduate students in telecom and computer science programs.
Table of Contents
Preface
Acknowledgement
Introduction
1 Technology Adoption and Emerging Trends
1.1 Introduction
1.2 Trends in Business technology
1.3 AI-Fueled Organizations
1.4 Connectivity of Tomorrow
1.5 Moving Beyond Marketing
1.6 Cloud Computing
1.7 Cybersecurity, Privacy, and Risk Management
1.8 Conclusion
2 Telecommunication Transformation and Intelligent Connectivity
2.1 Introduction
2.2 Cybersecurity Concerns in the 5G World
2.3 Positive Effects of Addressing Cybersecurity Challenges in 5G
2.4 Intelligent Connectivity Use-Cases
2.5 Industrial and Manufacturing Operations
2.6 Healthcare
2.7 Public Safety and Security
2.8 Conclusion
3 The Internet of Things (IoT): Potentials and the Future Trends
3.1 Introduction
3.2 Achieving the Future of IoT
3.3 Commercial Opportunities for IoT
3.4 The Industrial Internet of Things
3.5 Future Impact of IoT in Our Industry
3.6 Data Sharing in the IoT Environment
3.7 IoT Devises Environment Operation
3.8 Interoperability Issues of IoT
3.9 IoT-Cloud -Application
3.10 Regulation and Security Issues of IoT
3.11 Achieving IoT Innovations While Tackling Security and Regulation Issues
3.12 Future of IoT
3.13 Conclusion
4 The Wild Wonders of 5G Wireless Technology
4.1 Introduction
4.2 5G Architecture
4.3 5G Applications
4.4 5G Network Architecture
4.5 Security and Issues of 5G
4.6 IoT Devices in 5G Wireless
4.7 Big Data Analytics in 5G
4.8 AI Empowers a Wide Scope of Use Cases
4.9 Conclusion
5 Artificial Intelligence Technology
5.1 Introduction
5.2 Core Concepts of Artificial Intelligence
5.3 Machine Learning and Applications
5.4 Deep Learning
5.5 Neural Networks Follow a Natural Model
5.6 Classifications of Artificial Intelligence
5.7 Trends in Artificial Intelligence
5.8 Challenges of Artificial Intelligence
5.9 Funding Trends in Artificial Intelligence
5.10 Conclusion
6 AI, 5G, & IoT: Driving Forces Towards the Industry Technology Trends
6.1 Introduction
6.2 Fifth Generation of Network Technology
6.3 Internet of Things (IoT)
6.4 Industrial Internet of Things
6.5 IoT in Automotive
6.6 IoT in Agriculture
6.7 AI, IoT, and 5G Security
6.8 Conclusion
7 Intelligent Connectivity: A New Capabilities to Bring Complex Use Cases
7.1 Introduction
7.2 Machine-to-Machine Communication and the Internet of Things
7.3 Convergence of Internet of Things, Artificial Intelligence and 5G
7.4 Intelligent Connectivity Applications
7.5 Challenges and Risks of Intelligent Connectivity
7.6 Recommendations
7.7 Conclusion
8 IoT: Laws, Policies and Regulations
8.1 Introduction
8.2 Recently Published laws and Regulations
8.3 Developing Innovation and Growing the Internet of Things (DIGIT) Act
8.4 General View
8.5 Relaxation of laws by the Federal Aviation Administration's (FAA)
8.6 Supporting Innovation of Self Driving Cars by Allowing Policies
8.7 Recommendations
8.8 Conclusion
9 Artificial Intelligence and Blockchain
9.1 Introduction
9.2 Decentralized Intelligence
9.3 Applications
9.4 How Artificial Intelligence and Blockchain will Affect Society
9.5 How Augmented Reality Works
9.6 Mixed Reality
9.7 Virtual Reality
9.8 Key Components in a Virtual Reality System
9.9 Augmented Reality Uses
9.10 Applications of Virtual Reality in Business
9.11 The Future of Blockchain
9.12 Blockchain Applications
9.13 Blockchain and the Internet of Things
9.14 Law Coordination
9.15 Collaboration for Blockchain Success
10 Digital Twin Technology
10.1 Introduction
10.2 The Timeline and History of Digital Twin Technology
10.3 Technologies Employed in Digital Twin Models
10.4 The Dimension of Digital Twins Models
10.5 Digital Twin and Other Technologies
10.6 Digital Twin Technology Implementation
10.7 Benefits of Digital Twin
10.8 Application of Digital Twins
10.9 Challenges of Digital Twins
11 Artificial Intelligence, Big Data Analytics, and IoT
11.1 Introduction
11.2 Analytic
11.3 AI Technology in Big Data and IoT
11.4 AI Technology Applications and Use Cases
11.5 AI Technology Impact on the Vertical Market
11.6 AI in Big Data and IoT Market Analysis and Forecasts
11.7 Conclusion
12 Digital Transformation Trends in the Automotive Industry
12.1 Introduction
12.2 Evolution of Automotive Industry
12.3 Data-Driven Business Model and data monetization
12.4 Services of Data-Driven Business Model
12.5 Values of New Services in the New Automotive Industry
12.6 Conclusion
13 Wireless Sensors/IoT and Artificial Intelligence for Smart Grid and Smart Home
13.1 Introduction
13.2 Wireless Sensor Networks
13.3 Power Grid Impact
13.4 Benefits of Smart Grid
13.5 Internet of Things
13.6 Internet of Things on Smart Grid
13.7 Smart Grid and Artificial Intelligence
13.8 Smart Grid Programming
13.9 Conclusion
14 Artificial Intelligence, 5G and IoT: Security
14.1 Introduction
14.2 Understanding IoT
14.3 Artificial Intelligence
14.4 5G Network
14.5 Emerging Partnership of Artificial Intelligence, IoT, 5G, and Cybersecurity
14.6 Conclusion
15 Intelligent Connectivity and Agriculture
15.1 Introduction
15.2 The Potential of Wireless Sensors and IoT in Agriculture
15.3 IoT Sensory Technology with Traditional Farming
15.4 IoT Devices and Communication Techniques
15.5 IoT and all Crop Stages
15.6 Drone in Farming Applications
15.7 Conclusion
16 Applications of Artificial Intelligence, ML, and DL
16.1 Introduction
16.2 Building Artificial Intelligence Capabilities
16.3 What is Machine Learning?
16.4 Deep Learning
16.5 Machine Learning vs. Deep Learning Comparison
16.6 Feature Engineering
16.7 Application of Machine Learning
16.8 Applications of Deep learning
16.9 Future Trends
17 Big Data and Artificial Intelligence: Strategies for Leading Business Transformation
17.1 Introduction
17.2 Big Data
17.2 Machine Learning-Based Medical Systems
17.3 Artificial Intelligence for Stock Market Prediction
17.3.1 Application of Artificial Intelligence by Investors
17.4 Trends in AI and Big Data Technologies Drive Business Innovation
17.5 Driving Innovation Through Big Data
17.6 The Convergence of AI and Big Data
17.7 How AI and Big Data Will Combine to Create Business Innovation
17.8 AI and Big Data for Technological Innovation
17.9 AI and Production
17.10 AI and ML Operations Research
17.11 Collaboration Between Machines and Human
17.12 Generative Designs
17.13 Adapting to a Changing Market
17.14 Conclusion
Index
