Intelligent Connectivity: Ai, Iot, and 5g

ISBN-13: 9781119685180 / Angielski / Twarda / 2021 / 352 str.

Abdulrahman Yarali

Spis treści

PrefaceAcknowledgementIntroduction1 Technology Adoption and Emerging Trends1.1 Introduction1.2 Trends in Business technology1.3 AI-Fueled Organizations1.4 Connectivity of Tomorrow1.5 Moving Beyond Marketing1.6 Cloud Computing1.7 Cybersecurity, Privacy, and Risk Management1.8 Conclusion2 Telecommunication Transformation and Intelligent Connectivity2.1 Introduction2.2 Cybersecurity Concerns in the 5G World2.3 Positive Effects of Addressing Cybersecurity Challenges in 5G2.4 Intelligent Connectivity Use-Cases2.5 Industrial and Manufacturing Operations2.6 Healthcare2.7 Public Safety and Security2.8 Conclusion3 The Internet of Things (IoT): Potentials and the Future Trends3.1 Introduction3.2 Achieving the Future of IoT3.3 Commercial Opportunities for IoT3.4 The Industrial Internet of Things3.5 Future Impact of IoT in Our Industry3.6 Data Sharing in the IoT Environment3.7 IoT Devises Environment Operation3.8 Interoperability Issues of IoT3.9 IoT-Cloud -Application3.10 Regulation and Security Issues of IoT3.11 Achieving IoT Innovations While Tackling Security and Regulation Issues3.12 Future of IoT3.13 Conclusion4 The Wild Wonders of 5G Wireless Technology4.1 Introduction4.2 5G Architecture4.3 5G Applications4.4 5G Network Architecture4.5 Security and Issues of 5G4.6 IoT Devices in 5G Wireless4.7 Big Data Analytics in 5G4.8 AI Empowers a Wide Scope of Use Cases4.9 Conclusion5 Artificial Intelligence Technology5.1 Introduction5.2 Core Concepts of Artificial Intelligence5.3 Machine Learning and Applications5.4 Deep Learning5.5 Neural Networks Follow a Natural Model5.6 Classifications of Artificial Intelligence5.7 Trends in Artificial Intelligence5.8 Challenges of Artificial Intelligence5.9 Funding Trends in Artificial Intelligence5.10 Conclusion6 AI, 5G, & IoT: Driving Forces Towards the Industry Technology Trends6.1 Introduction6.2 Fifth Generation of Network Technology6.3 Internet of Things (IoT)6.4 Industrial Internet of Things6.5 IoT in Automotive6.6 IoT in Agriculture6.7 AI, IoT, and 5G Security6.8 Conclusion7 Intelligent Connectivity: A New Capabilities to Bring Complex Use Cases7.1 Introduction7.2 Machine-to-Machine Communication and the Internet of Things7.3 Convergence of Internet of Things, Artificial Intelligence and 5G7.4 Intelligent Connectivity Applications7.5 Challenges and Risks of Intelligent Connectivity7.6 Recommendations7.7 Conclusion8 IoT: Laws, Policies and Regulations8.1 Introduction8.2 Recently Published laws and Regulations8.3 Developing Innovation and Growing the Internet of Things (DIGIT) Act8.4 General View8.5 Relaxation of laws by the Federal Aviation Administration's (FAA)8.6 Supporting Innovation of Self Driving Cars by Allowing Policies8.7 Recommendations8.8 Conclusion9 Artificial Intelligence and Blockchain9.1 Introduction9.2 Decentralized Intelligence9.3 Applications9.4 How Artificial Intelligence and Blockchain will Affect Society9.5 How Augmented Reality Works9.6 Mixed Reality9.7 Virtual Reality9.8 Key Components in a Virtual Reality System9.9 Augmented Reality Uses9.10 Applications of Virtual Reality in Business9.11 The Future of Blockchain9.12 Blockchain Applications9.13 Blockchain and the Internet of Things9.14 Law Coordination9.15 Collaboration for Blockchain Success10 Digital Twin Technology10.1 Introduction10.2 The Timeline and History of Digital Twin Technology10.3 Technologies Employed in Digital Twin Models10.4 The Dimension of Digital Twins Models10.5 Digital Twin and Other Technologies10.6 Digital Twin Technology Implementation10.7 Benefits of Digital Twin10.8 Application of Digital Twins10.9 Challenges of Digital Twins11 Artificial Intelligence, Big Data Analytics, and IoT11.1 Introduction11.2 Analytic11.3 AI Technology in Big Data and IoT11.4 AI Technology Applications and Use Cases11.5 AI Technology Impact on the Vertical Market11.6 AI in Big Data and IoT Market Analysis and Forecasts11.7 Conclusion12 Digital Transformation Trends in the Automotive Industry12.1 Introduction12.2 Evolution of Automotive Industry12.3 Data-Driven Business Model and data monetization12.4 Services of Data-Driven Business Model12.5 Values of New Services in the New Automotive Industry12.6 Conclusion13 Wireless Sensors/IoT and Artificial Intelligence for Smart Grid and Smart Home13.1 Introduction13.2 Wireless Sensor Networks13.3 Power Grid Impact13.4 Benefits of Smart Grid13.5 Internet of Things13.6 Internet of Things on Smart Grid13.7 Smart Grid and Artificial Intelligence13.8 Smart Grid Programming13.9 Conclusion14 Artificial Intelligence, 5G and IoT: Security14.1 Introduction14.2 Understanding IoT14.3 Artificial Intelligence14.4 5G Network14.5 Emerging Partnership of Artificial Intelligence, IoT, 5G, and Cybersecurity14.6 Conclusion15 Intelligent Connectivity and Agriculture15.1 Introduction15.2 The Potential of Wireless Sensors and IoT in Agriculture15.3 IoT Sensory Technology with Traditional Farming15.4 IoT Devices and Communication Techniques15.5 IoT and all Crop Stages15.6 Drone in Farming Applications15.7 Conclusion16 Applications of Artificial Intelligence, ML, and DL16.1 Introduction16.2 Building Artificial Intelligence Capabilities16.3 What is Machine Learning?16.4 Deep Learning16.5 Machine Learning vs. Deep Learning Comparison16.6 Feature Engineering16.7 Application of Machine Learning16.8 Applications of Deep learning16.9 Future Trends17 Big Data and Artificial Intelligence: Strategies for Leading Business Transformation17.1 Introduction17.2 Big Data17.2 Machine Learning-Based Medical Systems17.3 Artificial Intelligence for Stock Market Prediction17.3.1 Application of Artificial Intelligence by Investors17.4 Trends in AI and Big Data Technologies Drive Business Innovation17.5 Driving Innovation Through Big Data17.6 The Convergence of AI and Big Data17.7 How AI and Big Data Will Combine to Create Business Innovation17.8 AI and Big Data for Technological Innovation17.9 AI and Production17.10 AI and ML Operations Research17.11 Collaboration Between Machines and Human17.12 Generative Designs17.13 Adapting to a Changing Market17.14 ConclusionIndex

O autorze

Abdulrahman Yarali, PhD, has led research teams working on wireless mobile communications systems design, implementation, and optimization for organizations like AT&T, Nortel, and Sprint PCS. He is a faculty member at the Institute of Engineering and TSM program at Michigan State University, USA.