机读格式显示(MARC)
- 000 03658cam a2200313 i 4500
- 008 230830s2023 sz a b 001 0 eng d
- 020 __ |a 9783031391576 |q hardback
- 020 __ |a 9783031391583 |q ebook
- 040 __ |a GW5XE |b eng |e rda |c GW5XE |d YDX |d EBLCP
- 082 04 |a 332.640285/63 |2 23/eng/20230830
- 245 00 |a Artificial intelligence (AI) and finance / |c Bahaaeddin A. M. Alareeni, Islam Elgedawy, editors.
- 260 __ |a Cham : |b Springer, |c 2023.
- 300 __ |a xiv, 968 pages : |b illustrations (some color) ; |c 24 cm.
- 336 __ |a text |2 rdacontent
- 337 __ |a unmediated |2 rdamedia
- 338 __ |a volume |2 rdacarrier
- 490 1_ |a Studies in systems, decision and control, |x 2198-4182 ; |v 488
- 504 __ |a Includes bibliographical references and index.
- 520 __ |a 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.
- 650 _0 |a Artificial intelligence |x Financial applications.
- 700 1_ |a Alareeni, Bahaaeddin A. M., |e editor.
- 700 1_ |a Elgedawy, Islam, |e editor.
- 830 _0 |a Studies in systems, decision and control ; |v 488.