Academic Journal

Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector

التفاصيل البيبلوغرافية
العنوان: Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector
المؤلفون: Raúl Jáuregui-Velarde, Laberiano Andrade-Arenas, Pedro Molina-Velarde, Cesar Yactayo-Arias
المصدر: International Journal of Electrical and Computer Engineering (IJECE), 14(1), (2024-02-01)
بيانات النشر: Zenodo
سنة النشر: 2024
المجموعة: Zenodo
مصطلحات موضوعية: Artificial intelligence, Banking sector, Ethical challenges, Fraud detection, Machine learning
الوصف: This paper reviews the advances, challenges, and approaches of artificial intelligence (AI) and machine learning (ML) in the banking sector. The use of these technologies is accelerating in various industries, including banking. However, the literature on banking is scattered, making a global understanding difficult. This study reviewed the main approaches in terms of applications and algorithmic models, as well as the benefits and challenges associated with their implementation in banking, in addition to a bibliometric analysis of variables related to the distribution of publications and the most productive countries, as well as an analysis of the co-occurrence and dynamics of keywords. Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework, forty articles were selected for review. The results indicate that these technologies are used in the banking sector for customer segmentation, credit risk analysis, recommendation, and fraud detection. It should be noted that credit analysis and fraud detection are the most implemented areas, using algorithms such as random forests (RF), decision trees (DT), support vector machines (SVM), and logistic regression (LR), among others. In addition, their use brings significant benefits for decision-making and optimizing banking operations. However, the handling of substantial amounts of data with these technologies poses ethical challenges.
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
Relation: oai:zenodo.org:10460769
DOI: 10.11591/ijece.v14i1.pp1079-1090
الاتاحة: https://doi.org/10.11591/ijece.v14i1.pp1079-1090
Rights: info:eu-repo/semantics/openAccess ; Creative Commons Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0/legalcode
رقم الانضمام: edsbas.6BC43145
قاعدة البيانات: BASE
الوصف
DOI:10.11591/ijece.v14i1.pp1079-1090