WAYS TO IMPROVE THE EFFICIENCY OF BANKING SERVICES THROUGH THE USE OF ARTIFICIAL INTELLIGENCE AND BIG DATA TECHNOLOGIES

WAYS TO IMPROVE THE EFFICIENCY OF BANKING SERVICES THROUGH THE USE OF ARTIFICIAL INTELLIGENCE AND BIG DATA TECHNOLOGIES

Авторы

  • Sevara Mamatova

DOI:

https://doi.org/10.5281/zenodo.20256229

Ключевые слова:

artificial intelligence, big data, banking services, digital transformation, fintech, credit processes, risk management, credit scoring, automation, big data analytics, machine learning, financial technologies, operational efficiency, customer satisfaction, financial stability, digital banking services, economic development

Аннотация

This article provides an in-depth scientific analysis of improving the efficiency of banking services through
the use of artificial intelligence and big data technologies. The study examines the impact of these technologies on
credit processes, risk management, and customer service quality from both theoretical and practical perspectives. It
also presents a comparative analysis of digital transformation outcomes in the banking systems of developed countries.
The paper substantiates the role of artificial intelligence and big data technologies in optimizing banking operations,
reducing costs, and improving the accuracy of decision-making processes. The research findings demonstrate that these
technologies play a crucial role in enhancing competitiveness and ensuring the sustainable development of the banking
sector.

Биография автора

Sevara Mamatova

Doctoral Researcher
Banking and Finance Academy of the Republic of Uzbekistan

Библиографические ссылки

1. International Monetary Fund. Fintech: The Experience So Far // IMF Policy Paper. – 2019. – P. 1–45.

2. McKinsey & Company. The Age of AI: Artificial Intelligence in Banking // McKinsey Global Institute. – 2021. – P. 1–60.

3. World Bank. The Global Findex Database 2021: Financial Inclusion, Digital Payments, and Resilience in the Age of

COVID-19. – Washington, DC, 2022. – P. 1–120.

4. Bank for International Settlements. Big Tech in Finance: Opportunities and Risks // BIS Annual Economic Report. –

2023. – P. 1–80.

5. Al-Ababneh H. A., Borisova V., Zakharzhevska A., Tkachenko P., Andrusiak N. Performance of artificial intelligence

technologies in banking institutions // WSEAS Transactions on Business and Economics. – 2023. – Vol. 20, No. 1. – P.

307–317.

6. Yu T. R., Song X. Big data and artificial intelligence in the banking industry // Handbook of Financial Econometrics,

Statistics, Technology, and Risk Management: in 4 vols. – 2025. – P. 3841–3857.

7. Eni L. N. et al. Evaluating the role of artificial intelligence and big data analytics in Indian bank marketing // Tuijin Jishu

/ Journal of Propulsion Technology. – 2023. – Vol. 44, No. 3.

8. Nguyen D. K., Sermpinis G., Stasinakis C. Big data, artificial intelligence and machine learning: A transformative

symbiosis in favour of financial technology // European Financial Management. – 2023. – Vol. 29, No. 2. – P. 517–548.

9. Kaya O., Schildbach J., Schneider S. Artificial intelligence in banking // Artificial Intelligence. – 2019. – P. 1–9.

10. Rahman M. et al. Adoption of artificial intelligence in banking services: An empirical analysis // International Journal of

Emerging Markets. – 2023. – Vol. 18, No. 10. – P. 4270–4300.

11. Horobets N., Reznik O., Maliyk V., Vyhivskyi I., Bobrishova L. Artificial intelligence technologies in banking: Challenges

and opportunities for anti-money laundering in the context of EU regulatory initiatives // Journal of Money Laundering

Control. – 2025. – Vol. 28, Issues 4–5. – P. 593–608. – ISSN 1368-5201. – DOI: 10.1108/JMLC-03-2025-0041.

12. Ikhsan R. B., Fernando Y., Prabowo H., Yuniarty, Gui A., Kuncoro E. A. An empirical study on the use of artificial

intelligence in the banking sector of Indonesia by extending the TAM model and the moderating effect of perceived trust

// Digital Business. – 2025. – Vol. 5, No. 1. – Article 100103. – ISSN 2666-9544. – DOI: 10.1016/j.digbus.2024.100103.

13. Sonehekpon E. S. Effect of artificial intelligence on banking stability: Evidence from developed countries // Finance

Research Open. – 2025. – Vol. 1, No. 4. – Article 100074. – ISSN 3050-7006. – DOI: 10.1016/j.finr.2025.100074.

14. Abduxamidova M. Artificial intelligence in educational management: Opportunities and predictive mechanisms in the

context of Uzbekistan // Maktabgacha va maktab ta’limi jurnali. – P. 676–138.

15. Qurbonov A. Tijorat banklarida muammoli kreditlar ulushini kamaytirishda sun’iy intellekt texnologiyasidan foydalanish

istiqbollari // Finance, Money and Credit. – 2025. – Vol. 6, No. 1. – P. 261–267.

Загрузки

Опубликован

2026-05-01

Как цитировать

Mamatova , S. (2026). WAYS TO IMPROVE THE EFFICIENCY OF BANKING SERVICES THROUGH THE USE OF ARTIFICIAL INTELLIGENCE AND BIG DATA TECHNOLOGIES. ЗЕЛЁНАЯ ЭКОНОМИКА И РАЗВИТИЕ, 4(5). https://doi.org/10.5281/zenodo.20256229
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