Abdulrahman Yarali - Intelligent Connectivity

1 Cover

2 Title Page

3 Copyright Page

4 Dedication Page

5 Preface

6 Acknowledgement

7 IntroductionIntelligent Connectivity: Fusion of AI, IoT, and 5G

8 1 Technology Adoption and Emerging Trends1.1 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 References

9 2 Telecommunication Transformation and Intelligent Connectivity2.1 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 References

10 3 The Internet of Things (IoT): Potentials and the Future Trends3.1 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 Devices for 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 References

11 4 The Wild Wonders of 5G Wireless Technology4.1 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 References

12 5 Artificial Intelligence Technology5.1 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 References

13 6 AI, 5G, and IoT: Driving Forces Towards the Industry Technology Trends6.1 Introduction 6.2 Fifth Generation of Network Technology 6.3 Internet of Things (IoT) 6.4 Industrial Internet of Things 6.5 IoT in the Automotive Industry 6.6 IoT in Agriculture 6.7 AI, IoT, and 5G Security 6.8 Conclusion References

14 7 Intelligent Connectivity: New Capabilities to Bring Complex Use Cases7.1 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 References

15 8 IoT : Laws, Policies, and Regulations8.1 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 (FAA) 8.6 Supporting Innovation of Self‐Driving Cars by Government Policies 8.7 Recommendations 8.8 Conclusion References

16 9 Artificial Intelligence and Blockchain9.1 Introduction 9.2 Decentralized Intelligence 9.3 Applications 9.4 How Artificial Intelligence and Blockchain Will Affect Society 9.5 Augmented Reality 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 References

17 10 Digital Twin Technology10.1 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 Twin Models 10.5 Digital Twin and Other Technologies 10.6 Digital Twin Technology Implementation 10.7 Benefits of Digital Twins 10.8 Application of Digital Twins 10.9 Challenges of Digital Twins References

18 11 Artificial Intelligence, Big Data Analytics, and IoT11.1 Introduction 11.2 Analytics 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 References

19 12 Digital Transformation Trends in the Automotive Industry12.1 Introduction 12.2 Evolution of the Automotive Industry 12.3 Data‐Driven Business Model and Data Monetization 12.4 Services of the Data‐Driven Business Model 12.5 Values of New Services in the New Automotive Industry 12.6 Conclusion References

20 13 Wireless Sensors/IoT and Artificial Intelligence for Smart Grid and Smart Home13.1 Introduction 13.2 Wireless Sensor Networks 13.3 Power Grid Impact 13.4 Benefits of the Smart Grid 13.5 Internet of Things 13.6 Internet of Things on the Smart Grid 13.7 Smart Grid and Artificial Intelligence 13.8 Smart Grid Programming 13.9 Conclusion References

21 14 Artificial Intelligence, 5G, and IoT: Security14.1 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 References

22 15 Intelligent Connectivity and Agriculture15.1 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 References

23 16 Applications of Artificial Intelligence, ML, and DL16.1 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 Applications of Machine Learning 16.8 Applications of Deep Learning 16.9 Future Trends References

24 17 Big Data and Artificial Intelligence: Strategies for Leading Business Transformation17.1 Introduction 17.2 Big Data 17.3 Machine Learning‐Based Medical Systems 17.4 Artificial Intelligence for Stock Market Predictions 17.5 Trends in AI and Big Data Technologies Drive Business Innovation 17.6 Advancements and New Entries 17.7 AI and Production 17.8 AI and ML Operations Research 17.9 Collaboration Between Machines and Humans 17.10 Generative Designs 17.11 Adapting to a Changing Market References

25 Index

26 End User License Agreement

1 Chapter 3 Table 3.1 IoT protocols and specification.

2 Chapter 4Table 4.1 Mobile generation technology evolution and comparison (Desai 2019...

3 Chapter 16Table 16.1 DL and ML differences (Guru99 2019).

1 Chapter 1 Figure 1.1 Hype cycles for emerging technologies, 2020 (Panetta 2020). Figure 1.2 The critical role of fusion of IoT, 5G, and AI in different indus...

2 Chapter 2 Figure 2.1 Investment and usage of the most popular technologies. Figure 2.2 The fusion of 5G, AI, and IoT (GSMA International 2018).

3 Chapter 3 Figure 3.1 IoT network from connectivity to human value (i‐SCOOP). Figure 3.2 IIOT categories of enabling technologies (Benardos 2017). Figure 3.3 The adoption and impact path of the industrial Internet (World Ec...

4 Chapter 4Figure 4.1 Wireless networks evolution (Senate RPC 2019).Figure 4.2 (a) KPI comparison of 4G and 5G (International Telecommunication ...Figure 4.3 KPI for three 5G use cases of eMBB, mMTC, and uRLLC (Lee, 2016)....Figure 4.4 5G and real‐time mobile applications and services (Desai 2019).Figure 4.5 High‐level characteristics of proposed 5G frequency bands (metasw...

5 Chapter 5Figure 5.1 AI revenue, top 10 use cases, world markets – 2025 (TM Capital 20...Figure 5.2 Sectors leading to AI adoption technology (TM Capital 2017).Figure 5.3 Global healthcare AI market growth through 2024 (TM capital 2017)...Figure 5.4 Enterprise AI companies, 2020.