Artificial Intelligence in the Banking Sector: Opportunities and Challenges

Семеко, Г В; Ran, Inion

doi:10.31249/snsn/2021.02.06

Cited by 5 publications

(1 citation statement)

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“…Очередной «вызов» для банковской системы страны был определен как раз набором внешних факторов влияния, заключавшихся в создании набора определенных условий, которые должны были не только ограничить участие России на мировом финансовом рынке, но и, по мнению некоторых зарубежных экспертов и аналитиков, сделать страну банкротом, полностью зависящим от деятельности западных стран и США [1].…”

Section: Introductionunclassified

The impact of sanctions policy on Russian banking sector

Sinichenko

2024

EML

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Introduction. The banking sector is a key sector of the national economy and a growth factor, determining its efficiency and development prospects. Over the past year and a half, the national economy in general and the banking sector in particular have been adapting to the external negative impact of the sanctions policies of Western countries. Package sanctions were created on a regular basis and are used today to limit the development of the country in all areas. Theoretical analysis. The study identifies and substantiates the factors that ensure the relationship between the sanctions imposed by Western countries and the state of the banking sector of the Russian Federation. The basis for the Russian banking sector functioning is systemically important banks; in this regard, the influence of sanctions on their activities and mechanisms of adaptation to sanctions are of particular research interest. Empirical analysis. Statistical indicators of the banking sector, assets, lending to corporate clients and individuals, profits of the banking sector and credit organizations were analyzed, conclusions were drawn about successful adaptation to sanctions due to growth in indicators, high margins and a significant reduction in the cost of risk in comparison with 2022. Results. The process of the banking sector adaptation to sanctions pressure is presented and the reasons for its effective recovery are identified.

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Section: Introductionunclassified

The impact of sanctions policy on Russian banking sector

Sinichenko

2024

EML

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Voice Technologies in Control of Strategic Development Large-Scale systems

Rezchikov,

Stepanovskaya

2023

2023 16th International Conference Management of Large-Scale System Development (MLSD)

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Methodology for Assessing the AI Maturity of a Financial Institution Using the Example of Banking Organizations in the Russian Federation

Minyushkina

2024

Scientific Research and Development. Economics of the Firm

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The article is devoted to the issues of conducting a competent assessment of the readiness of a financial institution to implement artificial intelligence. The paper describes the term "artificial intelligence", identifies the role of the phenomenon in the work of banking organizations, defines the directions of application of the tool for optimizing the organization's activities, examines the main limitations and factors affecting the availability of advanced technologies in the established conditions. The analysis of foreign and domestic experience in assessing the maturity of organizations is carried out. Methodological tools of the research: analysis of statistical sources of information. As the study showed, the introduction of artificial intelligence technology becomes a necessary attribute in the work of financial organizations, and the availability of competent implementation affects the quality of the product and the competitiveness of the company. It is concluded that an important task of the state is to assist organizations from a legislative point of view.

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Artificial Intelligence in the Banking Sector: Opportunities and Challenges

Cited by 5 publications

References 0 publications

The impact of sanctions policy on Russian banking sector

The impact of sanctions policy on Russian banking sector

Voice Technologies in Control of Strategic Development Large-Scale systems

Methodology for Assessing the AI Maturity of a Financial Institution Using the Example of Banking Organizations in the Russian Federation

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