Business & IT

Peer-reviewed scientific journal · Czech Technical University in Prague

ISSN 1805-3777 (print)
ISSN 2570-7434 (online)

Business & IT · Vol. XII(1) · 2022

How banks are leveraging machine learning: perspective from African banks

Abebe Sutukai Nwachukwu, Kwame Efua Boatengu

Journal
Business & IT, Vol. XII(1), pp. 219–225
Year
2022
DOI
https://doi.org/10.14311/bit.2022.01.26

Abstract

In the present day world, a lot of information is generated in each field, and every field, as well as the banking industry, is among them. This data contains valuable information. Hence, it's important to shop, procedure, manage and analyze this information to extract information from it. It helps boost company profit. Banking industry plays a vital role in the country's economy. Customers are the primary advantage of the bank. Thus, it's essential to focus on issues experienced by the banks. Below, we focus on customer retention and fraud detection. In this particular work, supervised synthetic neural community algorithm is implemented for category job.

Keywords

Banking business, Machine Learning, Fraud Detection, Customer Retention, Artificial Neural Network

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How to cite (APA)

Abebe Sutukai Nwachukwu, Kwame Efua Boatengu (2022). How banks are leveraging machine learning: perspective from African banks. Business & IT, Vol. XII(1), pp. 219–225. https://doi.org/10.14311/bit.2022.01.26

Editorial information: Business & IT, ISSN 2570-7434, Creative Commons licence CC BY 4.0, published by CTU in Prague, 2022. https://bit.fsv.cvut.cz/