This book considers the effects of COVID-19 on accounting, particularly with regard to the role of artificial intelligence in accounting in the post-pandemic business environment. The contributions in the book consider a variety of sectors that have been affected by the pandemic, such as the stock market, forensic accounting, Bitcoin, as well as the economic and educational responses to the pandemic and the aftermath felt by both developing and developed countries. This book will be a valuable read for academics, students and practitioners of accounting who are keen to explore the future of the field in light of the pandemic.
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
This book aims to assess the experience of education during COVID-19 pandemic and explore the future of application of technologies and artificial intelligence in education. Education delivery requires the support of new technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data, and machine learning to fight and aspire to new diseases. The academic community and those interested in education agree that education after the corona pandemic will not be the same as before. The book also questions the role of accreditation bodies (e.g., AACSB, etc.) to ensure the effectiveness and efficiency of technology tools in achieving distinguished education in times of crisis.
The impact of COVID-19 has exposed major cracks in the global financial system and has severely undermined global financial stability. Never have the shortcomings of universal financialization - the dominant principle of the global financial system for the past thirty-odd years - been more obvious or more painful. Islamic finance provides ways forward: based on commercial and social modes of risk-sharing and financing, it offers radical structural solutions to the health, human and financial crises faced in this unprecedented time. In Towards a Post-Covid Global Financial System: Lessons in Social Responsibility from Islamic Finance, an international team of experts explore how COVID-19 has affected the most vulnerable parts of the global economy; how it has been met by Islamic banking and finance specifically; and how the principles of Islamic social finance could be used to have a fairer, more resilient Islamic finance system for all.
Technology is changing the landscape of the financial sector, increasing access to financial services in profound ways. These changes have been in motion for several years, affecting nearly all countries in the world. During the COVID-19 pandemic, technology has created new opportunities for digital financial services to accelerate and enhance financial inclusion, amid social distancing and containment measures. At the same time, the risks emerging prior to COVID-19, as digital financial services developed, are becoming even more relevant.
While today’s business world is dominated by technology and data analysis, award-winning financial journalist and anthropology PhD Gillian Tett advocates thinking like an anthropologist to better understand consumer behavior, markets, and organizations to address some of society’s most urgent challenges. Amid severe digital disruption, economic upheaval, and political flux, how can we make sense of the world? Leaders today typically look for answers in economic models, Big Data, or artificial intelligence platforms. Gillian Tett points to anthropology—the study of human culture. Anthropologists learn to get inside the minds of other people, helping them not only to understand other cultures but also to appraise their own environment with fresh perspective as an insider-outsider, gaining lateral vision. Today, anthropologists are more likely to study Amazon warehouses than remote Amazon tribes; they have done research into institutions and companies such as General Motors, Nestlé, Intel, and more, shedding light on practical questions such as how internet users really define themselves; why corporate projects fail; why bank traders miscalculate losses; how companies sell products like pet food and pensions; why pandemic policies succeed (or not). Anthropology makes the familiar seem unfamiliar and vice versa, giving us badly needed three-dimensional perspective in a world where many executives are plagued by tunnel vision, especially in fields like finance and technology. “Fascinating and surprising” (Fareed Zararia, CNN), Anthro-Vision offers a revolutionary new way for understanding the behavior of organizations, individuals, and markets in today’s ever-evolving world.
This book offers a remarkable collection of chapters covering a wide range of topics related to ICT applications in agriculture and the environment. It gathers the proceedings of the 2nd International Conference on ICTs in Agronomy and Environment (CITAMA 2019), held in Guayaquil, Ecuador on January 22–25, 2019. The conference attracted a total of 27 papers, submitted by pioneering researchers from countries around the globe. Following a thorough peer-review by leading experts, only 14 papers were ultimately selected for publication. They cover a diverse range of topics, including: intelligent and knowledge-based systems; the Internet of things and monitoring systems; image processing; and social and collaborative systems. The book offers a valuable resource for a broad readership, including researchers, educators, undergraduate and graduate students, as well as professionals from the areas of ICT, Agriculture and Environment.
This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
