Data analysis in Cashless Payment Systems

The use of artificial intelligence in the financial sphere are analyzed in this study. One of the possible areas of using neural network in financial institutions is the system of cashless payments. One of the main problems in introducing innovative projects is to evaluate the efficiency of the impl...

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Autores principales:	Bataev Alexey, Glushkova Antonina
Formato:	article
Lenguaje:	EN FR
Publicado:	EDP Sciences 2021
Materias:	Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/4d14b761a34f4f9b95e9b1c381d785de
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spelling	oai:doaj.org-article:4d14b761a34f4f9b95e9b1c381d785de2021-11-12T11:44:23ZData analysis in Cashless Payment Systems2267-124210.1051/e3sconf/202132003005https://doaj.org/article/4d14b761a34f4f9b95e9b1c381d785de2021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/96/e3sconf_esei2021_03005.pdfhttps://doaj.org/toc/2267-1242The use of artificial intelligence in the financial sphere are analyzed in this study. One of the possible areas of using neural network in financial institutions is the system of cashless payments. One of the main problems in introducing innovative projects is to evaluate the efficiency of the implemented information system. In this regard, the construction of an investment model that allows evaluating the implementation and use of artificial intelligence in the cashless payments system of financial institutions is proposed in this article. Based on the constructed model, an analysis is made of the dependence of the effectiveness of the system with artificial intelligence on the size of the client base of a credit organization, while the minimum and maximum possible efficiency parameters of the implemented system are evaluated. Based on a comprehensive analysis, recommendations are given on perspectives of introducing such systems into credit organizations.Bataev AlexeyGlushkova AntoninaEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 320, p 03005 (2021)
institution	DOAJ
collection	DOAJ
language	EN FR
topic	Environmental sciences GE1-350
spellingShingle	Environmental sciences GE1-350 Bataev Alexey Glushkova Antonina Data analysis in Cashless Payment Systems
description	The use of artificial intelligence in the financial sphere are analyzed in this study. One of the possible areas of using neural network in financial institutions is the system of cashless payments. One of the main problems in introducing innovative projects is to evaluate the efficiency of the implemented information system. In this regard, the construction of an investment model that allows evaluating the implementation and use of artificial intelligence in the cashless payments system of financial institutions is proposed in this article. Based on the constructed model, an analysis is made of the dependence of the effectiveness of the system with artificial intelligence on the size of the client base of a credit organization, while the minimum and maximum possible efficiency parameters of the implemented system are evaluated. Based on a comprehensive analysis, recommendations are given on perspectives of introducing such systems into credit organizations.
format	article
author	Bataev Alexey Glushkova Antonina
author_facet	Bataev Alexey Glushkova Antonina
author_sort	Bataev Alexey
title	Data analysis in Cashless Payment Systems
title_short	Data analysis in Cashless Payment Systems
title_full	Data analysis in Cashless Payment Systems
title_fullStr	Data analysis in Cashless Payment Systems
title_full_unstemmed	Data analysis in Cashless Payment Systems
title_sort	data analysis in cashless payment systems
publisher	EDP Sciences
publishDate	2021
url	https://doaj.org/article/4d14b761a34f4f9b95e9b1c381d785de
work_keys_str_mv	AT bataevalexey dataanalysisincashlesspaymentsystems AT glushkovaantonina dataanalysisincashlesspaymentsystems
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Data analysis in Cashless Payment Systems

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