MOLIYA BOZORLARIDA SUN’IY INTELEKT VA BIG DATA TEXNOLOGIYALARINING QO’LLANILIISHI | TADQIQOTLAR

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Keywords

Kalit so’zlar: Sun’iy intellekt, Big Data, raqamli moliya, fintech, moliyaviy bozor, risklarni boshqarish, raqamli transformatsiya, innovatsion texnologiyalar, moliyaviy inklyuziya.

How to Cite

Nabiyev Nasimbek Shuhratjon o’g’li. “MOLIYA BOZORLARIDA SUN’IY INTELEKT VA BIG DATA TEXNOLOGIYALARINING QO’LLANILIISHI ”. TADQIQOTLAR 74, no. 2 (November 18, 2025): 116–124. Accessed June 7, 2026. http://openresearch-hub.com/index.php/tad/article/view/331.

Abstract

Annotatsiya: Ushbu maqolada sun’iy intellekt (AI) va Big Data
texnologiyalarining moliyaviy bozor faoliyatida qo‘llanilishi, ularning afzalliklari
hamda yuzaga kelayotgan muammolar tahlil qilinadi. Tadqiqot davomida raqamli
texnologiyalarning bank tizimi, investitsiya jarayonlari va moliyaviy xavflarni
boshqarishdagi o‘rni yoritilgan. Shuningdek, moliyaviy xizmatlarda sun’iy
intellektning avtomatlashtirish, risklarni oldindan prognoz qilish va mijozlar tajribasini
yaxshilashdagi roli o‘rganilgan. Maqolada xorijiy tajribalar va zamonaviy ilmiy
manbalarga tayanilgan holda O‘zbekiston moliya bozorida ushbu texnologiyalarni
joriy etishning istiqbollari ko‘rsatib o‘tiladi. Tadqiqot natijalariga ko‘ra, AI va Big
Data texnologiyalarining to‘g‘ri integratsiyasi moliyaviy tizim samaradorligini
oshirishi, shaffoflikni kuchaytirishi va iqtisodiy raqobatbardoshlikni ta’minlashi
mumkinligi aniqlangan.

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References

Foydalanilgan adabiyotlar ro’yxati:

1. Brynjolfsson, E., & McAfee, A. (2017, July 18). The business of artificial

intelligence: What it can — and cannot — do for your organization. Harvard

Business Review. https://hbr.org/2017/07/the-business-of-artificial-intelligence

Гарвард Бизнес Ревью+1

2. Brynjolfsson, E., & McAfee, A. (2024). Firms’ use of predictive artificial

intelligence for economic value creation and appropriation. International Journal

of Information Management, 79.

https://www.sciencedirect.com/science/article/pii/S0268401224000847

ScienceDirect PDF versiyasi: https://uu.diva-

portal.org/smash/get/diva2%3A1906821/FULLTEXT02.pdf uu.diva-portal.org

3. Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will

transform how we live, work, and think. Houghton Mifflin Harcourt.

books.google.com+1

4. McAfee, A., & Brynjolfsson, E. (2012, October). Big data: The management

revolution. Harvard Business Review. https://hbr.org/2012/10/big-data-the-

management-revolution Erik Brynjolfsson+1

5. Jain, R., & Khurana, A. (2024). Big data analytics in the financial services industry.

International Journal of Scientific Research and Engineering Trends, 4(2), 45-53.

https://sciresjournals.com/ijstra/sites/default/files/IJSTRA-2024-0036.pdf starlab-

alliance.com+1

6. Zheng, X., Zhu, M., Li, Q., Chen, C., & Tan, Y. (2018). FinBrain: When finance

meets AI 2.0. arXiv preprint arXiv:1808.08497. https://arxiv.org/abs/1808.08497

uu.diva-portal.org

7. Fokoué, E. (2015). A taxonomy of big data for optimal predictive machine learning

and data mining. arXiv preprint arXiv:1501.00604.

https://arxiv.org/abs/1501.00604

8. https://uz.wikipedia.org/wiki/JPMorgan_Chase

9. https://en.wikipedia.org/wiki/Ant_Group

10. https://ru.wikipedia.org/wiki/Revolut

11. https://uz.wikipedia.org/wiki/Katta_hajmli_ma%CA%BClumot

12. Бoрoтoв, Шaрoфиддин (28-fevral 2023-yil). „РAҚAМЛИ ИҚТИСOДИЁТ

ШAРOИТИДA ЭЛЕКТРOН ТИЖOРAТНИ РИВOЖЛAНТИРИШ

ИСТИҚБOЛЛAРИ“. Iqtisodiyot va taʼlim. 24-jild, № 1. 56–61-

bet. doi:10.55439/ECED/vol24_iss1/a7.

13. ФАЙЗИЕВ, Шавкат Исматович; БАБАЕВ, Саидмухаммаджон

Саидкамолович; БАБАЕВ, Сирожиддин Саидкамолович (2023). „КАТТА

ҲАЖМДАГИ МАЪЛУМОТЛАРНИ ТАҲЛИЛ ҚИЛИШ

УСУЛЛАРИ“. ЎЗБЕКИСТОН МИЛЛИЙ АХБОРОТ АГЕНТЛИГИ – ЎзА

ИЛМ-ФАН БЎЛИМИ (ЭЛЕКТРОН ЖУРНАЛ). № 04.

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