A Qualitative Study on the Applications of Artificial Neural Networks in the Banking Sector
Authors:
Ali
Bentayeb
Abdelhafid Boussouf University Center, Mila, Algeria
Aboubaker
Khoualed
Badji Mokhtar University, Annaba, Algeria
Khayreddine
Bouzerb
Mohamed Seddik Benyahia University, Jijel, Algeria
Pages:
35-
47
DOI: https://doi.org/10.54664/SRLN6991
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.
Keywords:
Artificial Neural Networks; Artificial Intelligence Applications; Information; Banks; Banking Risks.
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