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Artificial intelligence (AI) has the potential to significantly improve efficiency, reduce costs, and increase the speed and accuracy of financial decision-making, making it an increasingly important tool for financial professionals. One way that AI can improve efficiency in finance is by automating tasks and processes that are time-consuming and repetitive for humans. For example, AI algorithms can be used to analyze and process large amounts of data, such as financial statements and market data, in a fraction of the time that it would take a human to do so. This can allow financial professionals to focus on higher-value tasks, such as interpreting data and making strategic decisions, rather than being bogged down by mundane tasks. AI can also reduce costs in finance by increasing automation and eliminating the need for certain tasks to be performed manually. This can result in cost savings for financial institutions, which can then be passed on to customers in the form of lower fees or better services. AI can be used to identify unusual patterns of activity that may indicate fraudulent behavior. This can help financial institutions reduce losses from fraud and improve customer security. AI-powered chatbots and virtual assistants can help financial institutions provide faster, more efficient customer service, particularly when it comes to answering common questions and handling routine tasks. Some financial institutions are using AI to analyze market data and make trades in real-time. AI-powered trading algorithms can potentially make faster and more accurate trading decisions than humans. In terms of speed and accuracy, AI algorithms can analyze data and make decisions much faster than humans, and can do so with a high degree of accuracy. This can be particularly useful in fast-moving financial markets, where quick and accurate decision-making can be the difference between success and failure. This book highlights how AI in finance can improve efficiency, reduce costs, and increase the speed and accuracy of financial decision-making. Moreover, the book also focuses on how to ensure the responsible and ethical use of AI in finance. This book is a valuable resource for students, scholars, academicians, researchers, professionals, executives, government agencies, and policymakers interested in exploring the role of artificial intelligence (AI) in finance. Its goal is to provide a comprehensive overview of the latest research and knowledge in this area, and to stimulate further inquiry and exploration.
This book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business & Technology (EMABT), held in Istanbul, between 06–07 November 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and ‎inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers ‎were selected for inclusion in the conference proceedings from forty countries. Each of these ‎chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process.‎ The book highlights a range of topics in the fields of technology, ‎entrepreneurship, business administration, ‎accounting, and economics that can contribute to business ‎development in countries, such as ‎learning machines, artificial intelligence, big data, ‎deep ‎‎learning, game-based learning, management ‎information system, ‎accounting information ‎system, knowledge management, entrepreneurship, and ‎social enterprise, corporate social responsibility and sustainability, business policy and strategic ‎management, international management and organizations, organizational behavior and HRM, ‎operations management and logistics research, controversial issues in management and organizations, ‎turnaround, corporate entrepreneurship, innovation, legal issues, business ethics, and firm ‎gerial accounting and firm financial affairs, non-traditional research, and creative ‎methodologies. These proceedings are reflecting quality research contributing theoretical and practical implications, for those who are wise to apply the technology within any business sector. It is our hope that the contribution of this book proceedings will be of the academic level which even decision-makers in the various economic and executive-level will get to appreciate.
This book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.
This is a book that covers different aspects of UAV technology, including design and development, applications, security and communication, and legal and regulatory challenges. The book is divided into 13 chapters, grouped into four parts. The first part discusses the design and development of UAVs, including ROS customization, structured designs, and intelligent trajectory tracking. The second part explores diverse applications such as search and rescue, monitoring distributed parameter systems, and leveraging drone technology in accounting. The third part focuses on security and communication challenges, including security concerns, multi-UAV systems, and communications security. The final part delves into the legal and regulatory challenges of integrating UAVs into non-segregated airspace. The book serves as a valuable resource for researchers, practitioners, and students in the field of unmanned aerial vehicles, providing a comprehensive understanding of UAV technology and its applications.
The proceedings volume provides an account of the pandemic-inspired policy changes in leadership, entrepreneurship, and sustainable development. The volume is a collection of papers presented at the 2022 International Leadership Conference hosted by the Prague Institute for Qualification Enhancement (PRIZK), Czech Republic. The focus of the conference was to outline positive changes for leadership in business and economics based on the lessons learned during the pandemic. The enclosed selection of papers describe the digital surge in business, economics, and education, as well as the development of frontier technologies caused by the COVID-19 lockdown periods. They also provide new insights into the concepts of leadership, entrepreneurship, and sustainable development post the COVID-19 pandemic. Finally, the papers define the new place and role of leadership within the context of global initiatives in sustainability such as the European Union's Green Deal and the United Nations' Sustainable Development Goals (SGDs).