The Role of Generative Artificial Intelligence in Enhancing Risk Management in the Banking Sector: A Case Study of Barclays Bank
| المصدر: | مجلة المعيار |
|---|---|
| الناشر: | المركز الجامعي أحمد بن يحي الونشريسي تيسمسيلت |
| المؤلف الرئيسي: | Hassini, Djazia (Author) |
| مؤلفين آخرين: | Logab, Djilali (Co-Author) |
| المجلد/العدد: | مج15, ع2 |
| محكمة: | نعم |
| الدولة: |
الجزائر |
| التاريخ الميلادي: |
2024
|
| الشهر: | ديسمبر |
| الصفحات: | 539 - 553 |
| DOI: |
10.54191/2320-015-002-042 |
| ISSN: |
2170-0931 |
| رقم MD: | 1542951 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | EcoLink, IslamicInfo |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Generative Artificial Intelligence | Risk Management | Barclays Bank
|
| رابط المحتوى: |
الناشر لهذه المادة لم يسمح بإتاحتها. |
| المستخلص: |
This study aims to highlight the topic of Generative Artificial Intelligence in the banking sector, one of the most important economic sectors striving for financial stability. Among the challenges facing banks in achieving these goals is effective risk management.. In this context, Generative Artificial Intelligence plays a crucial role in enhancing risk management and promoting sustainability in the banking sector. The study found that Generative Artificial Intelligence is characterized by its ability to independently produce new outputs, making it a powerful tool in data summarization.. It also improves risk management in the banking sector through analyzing complex data, predicting future risks, and detecting fraud. Barclays Bank is a pioneer in using Generative Artificial Intelligence to enhance banking risk management. The bank has developed a smart platform called "Barclays Risk Radar," which relies on analyzing vast amounts of data such as customer data, transaction records, and financial reports to analyze banking risks, improve risk assessment accuracy, and enhance customer satisfaction. |
|---|---|
| ISSN: |
2170-0931 |
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