The internet of things (IoT) has already proven its worth in fields such as health, education, and urban transportation. Given the rapid advancement of IoT along with artificial intelligence (AI) and machine learning in recent years, it is believed that new age technology will dramatically alter the way we live and work. One of the areas where this paradigm may stand out in the future is the domain of corporate diversity and inclusion. By modelling intelligent behavior, IoT may detect possible bias and prejudice in decision making, possibly eliminating patterns and biases that hamper company capacity to recruit diversely and inclusively. Promoting Inclusivity and Diversity Through Internet of Things in Organizational Settings provides relevant theoretical frameworks and the latest empirical research findings in the area. It examines the empirical evidence on corporations and how IoT is being used to create inclusiveness and diversity through electronic means. Covering topics on occupational stress, digital transformation, and digital diversification, this premier reference source is an essential resource for business executives and leaders, human resource managers, IT managers, social workers, sociologists, researchers, and academicians.

There is no industry left where AI is not being used. The application of this technology has already stretched across domains such as law, political science, policy, and economics; it will soon permeate areas of warfare, autonomous transportation, education, and space exploration to name a few. Technology giants such as Google, Apple, and Facebook are already investing their money, effort, and time towards integrating Artificial Intelligence. These companies have also taken initiatives to evangelize the mass about AI's capabilities and limitations. Currently there are about 400 start-ups working on AI and machine learning domains. Therefore, it is important for everyone to know about the applications of AI. This book provides a deeper understanding of the relevant aspects of AI in Industry 5.0. The authors bring this exciting field to life by presenting a substantial and robust introduction to artificial intelligence in a clear and concise course book form. Designed to provide an understanding of the foundations of artificial intelligence, it examines education powered by AI, entertainment and AI, home and service robots, healthcare re-imagined, predictive policing, space exploration with AI, weaponry in the world of AI, and many more critical applications.

The book throws light on the ongoing trends in international business, integration of information technology with global businesses, its role in value co-creation, resource integration, and service for service exchange. While discussing the issues of these areas, chapters of this book also delve into prevalent problematic areas which are closely related like employment, ethical aspects, power creation, and so on. Recognizing the role digitization and new technologies play in enabling global managers to communicate with outside world directly via digital channels irrespective of their location (which is especially true in time of COVID-19), the book takes an emerging economy perspective and throws light on new theories, perceptions, employment opportunities, and innovative ideas through its content. The book not only discusses effects of information technology but also the latest emerging technology in global business like use of artificial intelligence, robotics, machine learning, big data, and their integration with the global business 4.0. Since emergence of these new technologies requires proper infrastructural development, the book also throws light on government initiatives and CSR in this respect. It contains takeaways for both undergraduate and graduate students, researchers and academicians, industry watchers, practitioners, start-ups, and entrepreneurs

The subject of Artificial Intelligence (AI) is continuing on its journey of affecting each and every individual and will keep on this path in the times to come. This handbook is a collection of topics on the application of artificial intelligence applications for sustainability in different areas. It provides an insight into the various uses of concepts and practical examples for different domains all in one place which makes it unique and important for the potential reader. Handbook of Artificial Intelligence Applications for Industrial Sustainability: Concepts and Practical Examples examines the influence of AI and how it can be used in several industries to improve corporate performance, reduce security concerns, improve customer experience, and ultimately generate value for customers and maximize profits. The handbook offers practical examples, concepts, and applications that provide an easy understanding and implementation process. It provides AI applications in many fields such as sustainable credit decisions, cyber security and fraud prevention, warehouse management, and much more. This handbook will provide an insight to customers, managers, professionals, engineers, researchers, and students on the various uses of AI and sustainability in different domains. All of this needed information compiled into one handbook makes it unique and important for the engineering, business, and computer science communities.

This new volume familiarizes readers with the very relevant concepts of human resources and finance in Industry 4.0. The book looks at the adoption of current fast-moving computers and automation in the workplace and its impact on the financial aspects of human resources and how HR can be enhanced with smart and autonomous systems fueled by data and machine learning. The chapters offer case studies that provide firsthand knowledge of real-life problems, solutions, and situations faced by the industry. The volume highlights the thought process in resolution of the complex problems. Topics include HR management approaches, global HR challenges, behavioral finance for financial acumen, corporate social responsibility, women empowerment in the HR industry, emotional intelligence in the era of Industry 4.0, and more.

As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud. In this volume, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management. Topics cover the use of AI in e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.

Transforming Management Using Artificial Intelligence Techniques redefines management practices using artificial intelligence (AI) by providing a new approach. It offers a detailed, well-illustrated treatment of each topic with examples and case studies, and brings the exciting field to life by presenting a substantial and robust introduction to AI in a clear and concise manner. It provides a deeper understanding of how the relevant aspects of AI impact each other's efficacy for better output. It's a reliable and accessible one-step resource that introduces AI; presents a full examination of applications; provides an understanding of the foundations; examines education powered by AI, entertainment, home and service robots, healthcare re-imagined, predictive policing, space exploration; and so much more, all within the realm of AI. This book will feature: Uncovering new and innovative features of AI and how it can help in raising economic efficiency at both micro- and macro levels Both the literature and practical aspects of AI and its uses This book summarizing key concepts at the end of each chapter to assist reader comprehension Case studies of tried and tested approaches to resolutions of typical problems Ideal for both teaching and general-knowledge purposes. This book will also simply provide the topic of AI for the readers, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and managerial applications.

Since the introduction of Industry 5.0, there has been a greater emphasis on the human-centric view in human-machine collaboration. As society has benefitted from technological advancements in all aspects of industrial sectors, there has been a rethinking of the role human beings should play in future evolutions. This includes the skills or knowledge the workforce should adopt in training, and how the positive outcomes of such advancements can be maximized in the economy whilst mitigating the negative ethical and social consequences. Transformation for Sustainable Business and Management Practices: Exploring the Spectrum of Industry 5.0 provides an understanding of the foundations of these predicted changes; how the transformation started, evolved, and accelerated over time.

This new volume familiarizes readers with the very relevant concepts of human resources and finance in Industry 4.0. The book looks at the adoption of current fast-moving computers and automation in the workplace and its impact on the financial aspects of human resources and how HR can be enhanced with smart and autonomous systems fueled by data and machine learning. The chapters offer case studies that provide firsthand knowledge of real-life problems, solutions, and situations faced by the industry. The volume highlights the thought process in resolution of the complex problems. Topics include HR management approaches, global HR challenges, behavioral finance for financial acumen, corporate social responsibility, women empowerment in the HR industry, emotional intelligence in the era of Industry 4.0, and more.

The internet of things (IoT) has already proven its worth in fields such as health, education, and urban transportation. Given the rapid advancement of IoT along with artificial intelligence (AI) and machine learning in recent years, it is believed that new age technology will dramatically alter the way we live and work. One of the areas where this paradigm may stand out in the future is the domain of corporate diversity and inclusion. By modelling intelligent behavior, IoT may detect possible bias and prejudice in decision making, possibly eliminating patterns and biases that hamper company capacity to recruit diversely and inclusively. Promoting Inclusivity and Diversity Through Internet of Things in Organizational Settings provides relevant theoretical frameworks and the latest empirical research findings in the area. It examines the empirical evidence on corporations and how IoT is being used to create inclusiveness and diversity through electronic means. Covering topics on occupational stress, digital transformation, and digital diversification, this premier reference source is an essential resource for business executives and leaders, human resource managers, IT managers, social workers, sociologists, researchers, and academicians.