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ZENODO
Dataset . 2026
Data sources: ZENODO
ZENODO
Dataset . 2026
Data sources: Datacite
ZENODO
Dataset . 2026
Data sources: Datacite
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DIGITAL AND INTELLIGENT TECHNOLOGIES IN THE BANKING COMPLIANCE SYSTEM OF THE REPUBLIC OF UZBEKISTAN

Authors: Otabek Saatov;

DIGITAL AND INTELLIGENT TECHNOLOGIES IN THE BANKING COMPLIANCE SYSTEM OF THE REPUBLIC OF UZBEKISTAN

Abstract

This article examines how banking compliance in the Republic of Uzbekistan is changing under the influence of digital and intelligent technologies. While prior studies often focus on individual tools or regulatory aspects, this paper addresses the broader transformation of compliance from a narrowly control-oriented function into a strategic component of bank management. The study aims to demonstrate that RegTech solutions and artificial intelligence (AI) significantly enhance the efficiency, adaptability, and risk-oriented nature of compliance systems in commercial banks. The research is based on systemic and institutional approaches and applies comparative analysis, generalization of statistical data, and expert assessments. The paper identifies key weaknesses of traditional compliance models and analyzes practical directions for implementing RegTech and AI in AML/CFT, KYC, and transaction monitoring. As a result, a three-level model of digital banking compliance is proposed, combining operational automation, analytical intelligence, and strategic decision support. The practical value of the study lies in concrete recommendations for commercial banks and the Central Bank of the Republic of Uzbekistan aimed at building a technologically sustainable and risk-oriented compliance system.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average