A Qualitative Study on the Applications of Artificial Neural Networks in the Banking Sector
A Qualitative Study on the Applications of Artificial Neural Networks in the Banking Sector
Author(s): Ali Bentayeb, Aboubaker Khoualed, Khayreddine BouzerbSubject(s): Social Sciences, Media studies, Communication studies, Theory of Communication
Published by: Великотърновски университет „Св. св. Кирил и Методий”
Keywords: Artificial Neural Networks; Artificial Intelligence Applications; Information; Banks; Banking Risks.
Summary/Abstract: Banks are institutions that play a significant role in the economy through the diverse financial products and services they offer. Given that they operate in a competitive environment, they are constantly striving to employ the best methods to withstand competition. Among the latest techniques widely adopted by banks today are various applications of artificial intelligence, with artificial neural networks being at the forefront. This paper explores the various uses of these neural networks in banks and the benefits these uses bring to the banking sector as a whole. Therefore, this study is presented as a qualitative study, relying on the descriptive approach to draw valuable conclusions on the subject by reviewing relevant previous literature closely related to the study topic. The research concluded that artificial neural networks are highly beneficial for banks as they contribute significantly to predicting various risks facing the bank, as well as providing many other advantages, which will be discovered in this paper.
Journal: Медии и комуникации на 21. век
- Issue Year: 8/2024
- Issue No: 1
- Page Range: 35-47
- Page Count: 13
- Language: English