Artificial intelligence (AI), machine learning (ML) and other emerging technologies such as cloud, edge and quantum computing are converging to rewrite the landscape of modern industries and society as a whole. Comprehensive in scope, the book offers a detailed account of these inter-related domains current trends and future possibilities. Chapter 1: We begin by setting the stage with an overview on various trends, problems proposed to solve and road ahead provided by AI, Machine Learning and Deep learning from cloud, edge and quantum computing perspectives. The same is a comprehensive summary to provide perspective on the implications as one continuous stream of technology. It then discusses scalable and adaptive deep learning algorithms, which work in modern machine learning systems where there is a deluge of data. These algorithms sufficiently prepare AI technologies to face the challenges of increasing data as well as expansion of computational capabilities. Chapter three is Federated learning for Edge AI further makes privacy / personalization and security stronger. The amalgamation of blockchain emphasizes the robust and distributed nature of edge intelligence in modern IoT ecosystems. One of the most pressing issues in today's ethical landscape is that of Explainable Artificial Intelligence (XAI), and so the fourth chapter deals with some recent advances in explaining black-box models, providing a way to better understand -and thus potentially trust- AI-driven decision-making processes. This study explores the application of Automated Machine Learning (AutoML) in the contexts of Industry 4.0 and Society 5.0 giving insights on how automation can bring efficiency and innovation in different sectors. It also presents information on the challenges and opportunities that AutoML faces. In conclusion, the book discusses Artificial General Intelligence (AGI), which is a new topic that presents an ambitious view of what AI may be capable of in the future and some points to digest over how the concept might relate to our understanding on what industry may look like in the next stage of human evolution. Individually, these chapters offer a slice of the overall picture of where AI technologies are headed to keep pace with an advancing world.

The past few years have seen artificial intelligence (AI) acting as a force that has been changing industries, societies and also the educational landscape. The objective of this book is to present a holistic view of the different sectors being affected by AI and to list some of the challenges or opportunities that have arisen as part of this fast-moving area. The opening chapter is on the ethically fraught domain of AI technologies such as ChatGPT in educational contexts, noting new frontiers for cheating and suggesting ways that its integrity can be protected during this next industrial push of technological change. Even as AI tools grow in common use, educational institutions must grapple with these complexities to maintain notions of fair play and knowledge building. Further chapters move beyond AI in education to how it can be used as a broad lever for smart and sustainable campuses, cities, and infrastructure. The text in Chapter two centers on the way artificial intelligence (machine learning and deep learning) can steer more insightful urban planning, resource management and development that is sustainable. Chapter three presents a wider coverage of AI applications, including the concept of digital twins in different sectors-healthcare, finance and agriculture-as examples on how digital replicas improve productivity and innovation across various industries under Industry 4.0; 5.0 and Society 5.0. Chater four and five moves to the regulatory issues regarding AI. They talk about the importance of strong policies and the technological, economic, and regulatory obstacles holding back AI from realizing its promise in helping industries become smarter and more sustainable. The book also wraps up with a reflective commentary which presents the real-world applications of AI, future directions and potential research topics in AI, thereby providing readers some suggestions about where we could go regarding the development of AI in the next few years. This is the series of chapters that will show you how transformational AI can be; we hope it awakens the imagination and motivates people to conduct research and innovation in this exciting sector.

ChatGPT and other generative AI models are leading the technological revolution. The Future impact of ChatGPT on several business sectors documents the profound impact ChatGPT and artificial intelligence are having and will continue to have on business. A thorough analysis reveals how these tools change interactions, strategies, and efficiencies across industries.vIn the first chapter, we discuss how ChatGPT and generative AI are changing operations, decision-making, and communication across industries. The second chapter examines how ChatGPT redefines customer engagement, personalization, and satisfaction, reshaping customer loyalty. Chapter Three addresses ChatGPT and AI implementation challenges, as every innovation does. We examine the challenges businesses face, from data security to workforce adaptation. Chapter 4 discusses resilience and how ChatGPT helps organizations adapt, mitigate risks, and maintain continuity in unpredictable environments. Chapter Five analyzes ChatGPT adoption across industries, highlighting the challenge of AI integration acceptance. Chapter Six examines new opportunities and applications where ChatGPT's transformative potential grows. Finally, Chapter Seven forecasts ChatGPT's business sector futures and discusses AI's changing role in industry. This book guides businesses, researchers, and anyone interested in ChatGPT's future impact on business.

It seems that when businesses were finally understanding, implementing, and getting used to industry 4.0, the term 5.0 came about. Industry 5.0 takes human touch, innovation, and efficiency a step further in creating a turnaround strategy for corporate governance. This transformation has brought many questions to the minds of stakeholders such as when and why this happened. In order to explore the answers to these questions, further study is required to understand the prospects and challenges. Opportunities and Challenges of Business 5.0 in Emerging Markets discusses the present state and future outlooks of Business 5.0 and aims to achieve comprehensive insights on the implications of Business 5.0 in the emerging markets. The book also provides insights to marketers, entrepreneurs, and practitioners to unravel the opportunities and mitigate the challenges in the competitive world. Covering key topics such as big data, e-commerce, and value creation, this reference work is ideal for policymakers, business owners, managers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications. Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization. A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice. Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

Manufacturing from Industry 4.0 to Industry 5.0: Advances and Applications unfolds establishing three main pillars: (i) it investigates the theoretical background of the current industrial practice within the framework of industry 4.0 by presenting its key definitions and backbone technologies; (ii) it discusses the methods and state-of-the-art developments employed in the ongoing digital transformation of companies worldwide to promote more resilient, sustainable, and human-centric smart manufacturing and production networks; and (iii) it outlines a strategic plan for the transition from industry 4.0 to industry 5.0. Written by an international group of expert scientists, this volume offers an overview of the most recent research in the field and provides actionable insights to benefit audiences in both academia and industry. - Appeals to readers with its systematic and coherent approach that includes fundamental theoretical concepts as well as applied practical knowledge - Includes state-of-the-art information on disruptive smart manufacturing technologies, real-life case studies of their impact in business scenarios, and gap analysis, creating an evidence-based path to recognize the opportunities and challenges originating from an industry 4.0 to industry 5.0 transition - Serves as a guide to the next generation of engineers and facilitates making the next manufacturing paradigm a reality

With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial Intelligence Theory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.

There is no industry left where artificial intelligence is not used in some capacity. The application of this technology has already stretched across a multitude of domains including law and policy; it will soon permeate areas beyond anyone’s imagination. Technology giants such as Google, Apple, and Facebook are already investing their money, effort, and time toward integrating artificial intelligence. As this technology continues to develop and expand, it is critical for everyone to understand the various applications of artificial intelligence and its full potential. The Handbook of Research on Innovative Management Using AI in Industry 5.0 uncovers new and innovative features of artificial intelligence and how it can help in raising economic efficiency at both micro and macro levels and provides a deeper understanding of the relevant aspects of artificial intelligence impacting efficacy for better output. Covering topics such as consumer behavior, information technology, and personalized banking, it is an ideal resource for researchers, academicians, policymakers, business professionals, companies, and students.

The advancements in intelligent decision-making techniques have elevated the efficiency of manufacturing industries and led to the start of the Industry 4.0 era. Industry 4.0 is revolutionizing the way companies manufacture, improve, and distribute their products. Manufacturers are integrating new technologies, including the Internet of Things (IoT), cloud computing and analytics, and artificial intelligence and machine learning, into their production facilities throughout their operations. In the past few years, intelligent analytics has emerged as a solution that examines both historical and real-time data to uncover performance insights. Because the amount of data that needs analysis is growing daily, advanced technologies are necessary to collect, arrange, and analyze incoming data. This approach enables businesses to detect valuable connections and trends and make decisions that boost overall performance. In Industry 4.0, intelligent analytics has a broader scope in terms of descriptive, predictive, and prescriptive subdomains. To this end, the book will aim to review and highlight the challenges faced by intelligent analytics in Industry 4.0 and present the recent developments done to address those challenges.