International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Reviewer Referral Program
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 6 Issue 6
November-December 2024
Indexing Partners
Artificial Intelligence in Fraud Detection and Financial Risk Mitigation: Future Directions and Business Applications
Author(s) | Tariqul Islam, S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Rakesh Paul, Md Shadikul Bari |
---|---|
Country | United States |
Abstract | AI in fraud detection and financial risk management has taken this role of prevention and combating fraud closely related to organizations and the losses they incur a next level. This paper aims to discuss the use of artificial intelligence models in the process of detecting frauds and preventing and reducing financial risks in such markets as banking, insurance, and fintech. Today, through machine learning algorithms, deep learning techniques, and data analysis, the AI improves the speed, accuracy and effectiveness of fraud detection. This paper discusses the current AI models and business use incorporating the success story and the business outcomes which has encountered sometime to have the best result. Furthermore, the paper examines other important issues of AI application management such as data security and liberation, and complete fairness control. Using examples as well as statistical data in this AI for business article, we show how corporations have managed to minimize their risks while lowering their expenses with the use of artificial intelligence technology. This research outlines ideas on how organizations can implement AI into fraud detection systems and what can be done in future to enhance the solutions. This paper adds to the emerging body of knowledge on AI’s impact on finance and security, and demonstrates AI’s ability to influence the future of the industry. |
Keywords | Artificial Intelligence, Fraud Detection, Financial Risk Mitigation, Machine Learning, Business Applications |
Field | Engineering |
Published In | Volume 6, Issue 5, September-October 2024 |
Published On | 2024-10-05 |
Cite This | Artificial Intelligence in Fraud Detection and Financial Risk Mitigation: Future Directions and Business Applications - Tariqul Islam, S A Mohaiminul Islam, Ankur Sarkar, A J M Obaidur Rahman Khan, Rakesh Paul, Md Shadikul Bari - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.28496 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i05.28496 |
Short DOI | https://doi.org/g688pt |
Share this
E-ISSN 2582-2160
doi
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.