How banks are leveraging machine learning: perspective from African banks
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 h...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Czech Technical University in Prague
2022-12-01
|
Series: | Business & IT |
Subjects: | |
Online Access: | http://bit.fsv.cvut.cz/issues/01-22/full_01-22_26.pdf |
_version_ | 1811174664536326144 |
---|---|
author | Abebe Sutukai Nwachukwu Kwame Efua Boatengu |
author_facet | Abebe Sutukai Nwachukwu Kwame Efua Boatengu |
author_sort | Abebe Sutukai Nwachukwu |
collection | DOAJ |
description | 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. |
first_indexed | 2024-04-10T19:23:00Z |
format | Article |
id | doaj.art-4ddd024d17434c519e904ab9cb5287ab |
institution | Directory Open Access Journal |
issn | 1805-3777 2570-7434 |
language | English |
last_indexed | 2024-04-10T19:23:00Z |
publishDate | 2022-12-01 |
publisher | Czech Technical University in Prague |
record_format | Article |
series | Business & IT |
spelling | doaj.art-4ddd024d17434c519e904ab9cb5287ab2023-01-30T09:52:31ZengCzech Technical University in PragueBusiness & IT1805-37772570-74342022-12-01121922510.14311/bit.2022.01.26How banks are leveraging machine learning: perspective from African banksAbebe Sutukai NwachukwuKwame Efua BoatenguIn 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.http://bit.fsv.cvut.cz/issues/01-22/full_01-22_26.pdfbanking businessmachine learningfraud detectioncustomer retentionartificial neural network |
spellingShingle | Abebe Sutukai Nwachukwu Kwame Efua Boatengu How banks are leveraging machine learning: perspective from African banks Business & IT banking business machine learning fraud detection customer retention artificial neural network |
title | How banks are leveraging machine learning: perspective from African banks |
title_full | How banks are leveraging machine learning: perspective from African banks |
title_fullStr | How banks are leveraging machine learning: perspective from African banks |
title_full_unstemmed | How banks are leveraging machine learning: perspective from African banks |
title_short | How banks are leveraging machine learning: perspective from African banks |
title_sort | how banks are leveraging machine learning perspective from african banks |
topic | banking business machine learning fraud detection customer retention artificial neural network |
url | http://bit.fsv.cvut.cz/issues/01-22/full_01-22_26.pdf |
work_keys_str_mv | AT abebesutukainwachukwu howbanksareleveragingmachinelearningperspectivefromafricanbanks AT kwameefuaboatengu howbanksareleveragingmachinelearningperspectivefromafricanbanks |