國立高雄大學圖資館 |

Artificial intelligence (AI) and finance

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence (AI) and financeedited by Bahaaeddin A. M. Alareeni, Islam Elgedawy.
other author:	Alareeni, Bahaaeddin A. M.
Published:	Cham :Springer Nature Switzerland :2023.
Description:	xiv, 968 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceFinancial applications.
Online resource:	https://doi.org/10.1007/978-3-031-39158-3
ISBN:	9783031391583$q(electronic bk.)

Artificial intelligence (AI) and finance
Artificial intelligence (AI) and finance[electronic resource] /edited by Bahaaeddin A. M. Alareeni, Islam Elgedawy. - Cham :Springer Nature Switzerland :2023. - xiv, 968 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,4882198-4190 ;. - Studies in systems, decision and control ;v.3..

Preface -- Introduction -- Papers: Part I: Artificial intelligence Trends in Business Development -- Part II: Artificial intelligence Trends in Finance Development -- References.

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.

ISBN: 9783031391583$q(electronic bk.)

Standard No.: 10.1007/978-3-031-39158-3doiSubjects--Topical Terms:

890884
Artificial intelligence
--Financial applications.

LC Class. No.: HG4515.5

Dewey Class. No.: 332.64028563

Artificial intelligence (AI) and finance
LDR:03796nmm a2200337 a 4500 001 647718
003 DE-He213
005 20230826102718.0
006 m d
007 cr nn 008maaau
008 240116s2023 sz s 0 eng d
020 $a 9783031391583$q(electronic bk.)
020 $a 9783031391576$q(paper)
024 7 $a 10.1007/978-3-031-39158-3 $2 doi
035 $a 978-3-031-39158-3
040 $a GP $c GP
041 0 $a eng
050 4 $a HG4515.5
072 7 $a TBJ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a TBJ $2 thema
082 0 4 $a 332.64028563 $2 23
090 $a HG4515.5 $b .A791 2023
245 0 0 $a Artificial intelligence (AI) and finance $h [electronic resource] / $c edited by Bahaaeddin A. M. Alareeni, Islam Elgedawy.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xiv, 968 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4190 ; $v 488
505 0 $a Preface -- Introduction -- Papers: Part I: Artificial intelligence Trends in Business Development -- Part II: Artificial intelligence Trends in Finance Development -- References.
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. $3 890884
650 1 4 $a Mathematical and Computational Engineering Applications. $3 915034
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence. $3 212515
700 1 $a Alareeni, Bahaaeddin A. M. $3 957152
700 1 $a Elgedawy, Islam. $3 794441
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Studies in systems, decision and control ; $v v.3. $3 678532
856 4 0 $u https://doi.org/10.1007/978-3-031-39158-3
950 $a Engineering (SpringerNature-11647)