The AIoT Playbook

The AIoT Playbook
Author: Dirk Slama
Publisher: Springer Nature
Total Pages: 413
Release: 2022
Genre: Electronic books
ISBN: 3030882217

The AIoT Playbook

The AIoT Playbook
Author: Dirk Slama
Publisher: Springer Nature
Total Pages: 413
Release: 2022
Genre: Electronic books
ISBN: 3030882217

Artificial Intelligence in IoT

Artificial Intelligence in IoT
Author: Fadi Al-Turjman
Publisher: Springer
Total Pages: 235
Release: 2019-02-12
Genre: Technology & Engineering
ISBN: 3030041107

This book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion. The aim of this book is hence to focus on both the algorithmic and practical parts of the artificial intelligence approaches in IoT applications that are enabled and supported by wireless sensor networks and cellular networks. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent wireless/wired enabling technologies. Includes the most up-to-date research and applications related to IoT artificial intelligence (AI); Provides new and innovative operational ideas regarding the IoT artificial intelligence that help advance the telecommunications industry; Presents AI challenges facing the IoT scientists and provides potential ways to solve them in critical daily life issues.

Artificial Intelligence of Things (AIoT)

Artificial Intelligence of Things (AIoT)
Author: Kashif Naseer Qureshi
Publisher: CRC Press
Total Pages: 272
Release: 2024-04-05
Genre: Computers
ISBN: 1003854273

This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things (AIoT) networks. Smart and intelligent communication networks have gained significant attention due to the combination of AI and IoT networks to improve human and machine interfaces and enhance data processing and services. AIoT networks involve the collection of data from several devices and sensor nodes in the environment. AI can enhance these networks to make them faster, greener, smarter, and safer. Computer vision, language processing, and speech recognition are some examples of AIoT networks. Due to a large number of devices in today’s world, efficient and intelligent data processing is essential for problem-solving and decision-making. AI multiplies the value of these networks and promotes intelligence and learning capabilities, especially in homes, offices, and cities. However, several challenges have been observed in deploying AIoT networks, such as scalability, complexity, accuracy, and robustness. In addition, these networks are integrated with cloud, 5G networks, and blockchain methods for service provision. Many different solutions have been proposed to address issues related to machine and deep learning methods, ontology-based approaches, genetic algorithms, and fuzzy-based systems. This book aims to contribute to the state of the art and present current standards, technologies, and approaches for AIoT networks. This book focuses on existing solutions in AIoT network technologies, applications, services, standards, architectures, and security provisions. This book also introduces some new architectures and models for AIoT networks.

Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition

Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition
Author: Rezaei, Sajad
Publisher: IGI Global
Total Pages: 387
Release: 2024-03-11
Genre: Computers
ISBN:

In the dynamic intersection of cutting-edge technology and evolving business strategies, the fusion of Artificial Intelligence (AI) and the Internet of Things (IoT) has given rise to a revolutionary paradigm known as Artificial Intelligence of Things (AIoT). This emerging technological powerhouse offers boundless possibilities while presenting formidable challenges, and organizations worldwide are wrestling with its integration into their core operations. Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition introduces the fundamental concepts underpinning AIoT integration and the evolving landscape of AIoT research and development, then delves deep into the theoretical foundations of AIoT, examining it through the lenses of economics, behavioral science, technology, psychology, and organizational theory. Within its pages, readers will discover insights into the tools, methods, design factors, user interfaces, and techniques driving AIoT innovation.

Artificial Intelligence for the Internet of Everything

Artificial Intelligence for the Internet of Everything
Author: William Lawless
Publisher: Academic Press
Total Pages: 306
Release: 2019-02-21
Genre: Computers
ISBN: 0128176377

Artificial Intelligence for the Internet of Everything considers the foundations, metrics and applications of IoE systems. It covers whether devices and IoE systems should speak only to each other, to humans or to both. Further, the book explores how IoE systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems. It examines the meaning, value and effect that IoT has had and may have on ordinary life, in business, on the battlefield, and with the rise of intelligent and autonomous systems. Based on an artificial intelligence (AI) perspective, this book addresses how IoE affects sensing, perception, cognition and behavior. Each chapter addresses practical, measurement, theoretical and research questions about how these "things may affect individuals, teams, society or each other. Of particular focus is what may happen when these "things begin to reason, communicate and act autonomously on their own, whether independently or interdependently with other "things. - Considers the foundations, metrics and applications of IoE systems - Debates whether IoE systems should speak to humans and each other - Explores how IoE systems affect targeted audiences and society - Discusses theoretical IoT ecosystem models

Innovation Factory: China’s Digital Playbook For Global Brands

Innovation Factory: China’s Digital Playbook For Global Brands
Author: Ashley Dudarenok
Publisher: Alarice International Limited
Total Pages: 78
Release: 2023-09-20
Genre: Business & Economics
ISBN: 988768953X

The criticism of China used to be that it was good at manufacturing but not at innovating. It has now proven those critics wrong. On top of that, some of its companies have developed cutting edge management approaches. We look at what’s behind China’s digital transformation, its unique e-commerce to see what Western brands can learn from China. In this book you’ll learn: How China got to its current stage of digital transformation How Chinese brands optimize e-commerce and digital marketing What highly effective management approaches Chinese companies have used to ramp up profit and turn around failing enterprises Here's what's inside: Chapter 1 What’s Behind China’s Innovation? Chapter 2 A Closer Look at China’s Digital Development I Customer-centric Ecosystems Chapter 3 China’s Tech Giant Transformation II The Future of Retail: What DTC Brands Can Learn from China Chapter 4 Mobile First Chapter 5 The Impact of Social Commerce Chapter 6 Online Merge Offline (OMO) Chapter 7 The Human Touch: Last Mile Delivery, QR Codes and CRM III Innovative Management Models Chapter 8 Management and Leadership Models from China Chapter 9 What China Can Learn From the World Chapter 10 Learning Together "Successful Chinese startups prioritize adaptability, quick production, and deep investment in influencer marketing while overseas brands often opt for a more organic strategy, risking missed growth and copycat challenges." — Tingyi (Jenny) Chen, Co-founder of Walk the Chat “Social new retail, combining social media, e-commerce and offline retail provides seamless consumer experiences and growth opportunities for retailers. As AI progresses, it will further improve the social new retail experience in China.” — Sandrine Zerbib, Founder & Chairwoman of Full Jet & President of Baozun Brand Management

Forthcoming Networks and Sustainability in the AIoT Era

Forthcoming Networks and Sustainability in the AIoT Era
Author: Jawad Rasheed
Publisher: Springer
Total Pages: 0
Release: 2024-07-22
Genre: Computers
ISBN: 9783031628702

This book introduces a groundbreaking approach to enhancing IoT device security, providing a comprehensive overview of its applications and methodologies. Covering a wide array of topics, from crime prediction to cyberbullying detection, from facial recognition to analyzing email spam, it addresses diverse challenges in contemporary society. Aimed at researchers, practitioners, and policymakers, this book equips readers with practical tools to tackle real-world issues using advanced machine learning algorithms. Whether you're a data scientist, law enforcement officer, or urban planner, this book is a valuable resource for implementing predictive models and enhancing public safety measures. It is a comprehensive guide for implementing machine learning solutions across various domains, ensuring optimal performance and reliability. Whether you're delving into IoT security or exploring the potential of AI in urban landscapes, this book provides invaluable insights and tools to navigate the evolving landscape of technology and data science. The book provides a comprehensive overview of the challenges and solutions in contemporary cybersecurity. Through case studies and practical examples, readers gain a deeper understanding of the security concerns surrounding IoT devices and learn how to mitigate risks effectively. The book's interdisciplinary approach caters to a diverse audience, including academics, industry professionals, and government officials, who seek to address the growing cybersecurity threats in IoT environments. Key uses of this book include implementing robust security measures for IoT devices, conducting research on machine learning algorithms for attack detection, and developing policies to enhance cybersecurity in IoT ecosystems. By leveraging advanced machine learning techniques, readers can effectively detect and mitigate cyber threats, ensuring the integrity and reliability of IoT systems. Overall, this book is a valuable resource for anyone involved in designing, implementing, or regulating IoT devices and systems.

Transforming Management with AI, Big-Data, and IoT

Transforming Management with AI, Big-Data, and IoT
Author: Fadi Al-Turjman
Publisher: Springer Nature
Total Pages: 315
Release: 2022-02-17
Genre: Technology & Engineering
ISBN: 3030867498

This book discusses the effect that artificial intelligence (AI) and Internet of Things (IoT) have on industry. The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications. The book is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments. Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management; Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels; Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.

Self-Powered AIoT Systems

Self-Powered AIoT Systems
Author: Chandra Singh
Publisher:
Total Pages: 0
Release: 2024
Genre: Artificial intelligence
ISBN: 9781774915240

"This new volume focuses on design principles for building self-powered AIoT (artificial intelligence of things) applications and their subsequent deployment. The book introduces the futuristic concepts of AIoT by incorporating self-powered systems, firstly by informing the reader of current AI/ML techniques and IoT technologies and then showing the path towards convergence of AI/IoT towards AIoT. The book also explains the many possible diverse applications of AIoT. The combination of IoT for sensing and aggregation of data from the surroundings and AI for analysis and decision-making will expand cyber-physical intelligence towards achieving complete autonomy. However, as the deployment of sensors becomes increasingly ubiquitous, there will be a massive amount of sensor data aggregation and analyses for autonomous decision-making capabilities of AIoT products. This calls for substantial research and product development in self-powered technologies such as energy harvesters, supercapacitors, energy storage devices for energy generation, and energy-efficient technologies such as ultra-low power (ULP) microcontrollers, ULP microprocessors, and ULP smart sensors and actuators. This volume helps to fill that gap. The volume presents research and product development towards structured convergence of self-powered systems, leading to pragmatic R&D deliverables for new products and services. The book is the first of its kind on reporting how the current AI and IoT are progressing toward the vision of AIoT. It goes one step further by integrating AIoT with self-powered systems to make them fully autonomous. Convergence will happen as the data volume increases, which is why the IT giants are betting on AIoT. This volume explores the hidden compatibility of self-powered AIoT"--