MARC details
| 000 -LEADER |
| fixed length control field |
02624cam a22002778i 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
210922s2022 nyu gsb 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
9780367774851 |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
DLC |
| Transcribing agency |
DLC |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
HG104 |
| Item number |
.A78 2022 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
| Classification number |
332.0285631 |
| Item number |
ART |
| 245 00 - TITLE STATEMENT |
| Title |
Artificial intelligence and Islamic finance : |
| Remainder of title |
practical applications for financial risk management / |
| 250 ## - EDITION STATEMENT |
| Edition statement |
1 Edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
| Place of publication, distribution, etc |
New York : |
| Name of publisher, distributor, etc |
Routledge, |
| Date of publication, distribution, etc |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
1 online resource |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
"This book provides a systematic overview of the current trends in research relating to the use of Artificial Intelligence in Islamic financial Institutions (IFIs), across all Organization of Islamic Cooperation (OIC) countries. Artificial Intelligence and Islamic Finance discusses current and potential applications of artificial intelligence (AI) for risk management in Islamic finance. It covers various techniques of risk management, encompassing asset and liability management (ALM) risk, credit, market, operational, liquidity risk, as well as, regulatory and Shariah risk compliance within the financial industry. The authors highlight AI's ability to combat financial crime such as monitoring trader recklessness, anti-fraud and anti-money laundering and assert that the capacity of machine learning (ML) to examine large amounts of data allows for greater granular and profound analyses across a variety of Islamic financial products and services. The book concludes with practical limitations around data management policies, transparency, and lack of necessary skillsets within financial institutions. By adopting new methodological approaches steeped in an Islamic economic framework (e.g., analysing FinTech in the context of Shariah principles and Islamic values), it devises practical solutions and generates insightful knowledge, helping readers to understand and explore the role of technological enablers in the Islamic finance industry such as; Reg-Tech and Artificial Intelligence, in providing better and Shariah compliant services to customers through digital platforms. The book will attract a wide readership spanning Shariah scholars, academicians and researchers as well as Islamic financial practitioners and policymakers"-- |
| 590 ## - Local Notes: Cataloguer & Date |
| Local note |
usc 02/11/2022 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Finance--Computer programs |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Artificial intelligence--Data processing |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name as entry element |
Finance--Religious aspects--Islam |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Sarea, Adel, |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Elsayed, Ahmed, |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Bin-Nashwan, Saeed, |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
E-Books |
| 949 ## - LOCAL PROCESSING INFORMATION (Call No. /Shelf Ref) |
| Call No. /Shelf Ref |
332.0285631 ART |