| Issue |
E3S Web Conf.
Volume 320, 2021
Energy Systems Environmental Impacts (ESEI 2021)
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 11 | |
| Section | Data Accuracy Analysis | |
| DOI | https://doi.org/10.1051/e3sconf/202132003005 | |
| Published online | 09 November 2021 | |
Data analysis in Cashless Payment Systems
1
Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya, 29, St.Petersburg, 195251, Russia
2
Samara University, Moskovskoye shosse 34, Samara, 443086, Russia
* Corresponding author: bat_a68@mail.ru
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.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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