O‘ZBEKISTON RESPUBLIKASIDA KORPORATIV KREDITLASHDA SUN’IY INTELLEKT VA BIG DATA TEXNOLOGIYALARI ASOSIDA KREDIT RISKLARINI BOSHQARISH MEXANIZMLARINI TAKOMILLASHTIRISH

Shaxsanam Yuzbayeva

doi:10.5281/zenodo.21714377

O‘ZBEKISTON RESPUBLIKASIDA KORPORATIV KREDITLASHDA SUN’IY INTELLEKT VA BIG DATA TEXNOLOGIYALARI ASOSIDA KREDIT RISKLARINI BOSHQARISH MEXANIZMLARINI TAKOMILLASHTIRISH

##article.authors##

Shaxsanam Yuzbayeva

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https://doi.org/10.5281/zenodo.21714377

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korporativ kreditlash, kredit riski, sun’iy intellekt, Big Data, skoring, stress-test, model riski.

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Ushbu maqolada O‘zbekiston Respublikasida korporativ kreditlash jarayonida sun’iy intellekt
va Big Data texnologiyalaridan foydalanish orqali kredit risklarini boshqarish mexanizmlarini takomillashtirish
masalasi yoritilgan. Tadqiqotda statistik tahlil, skoring modellarini o‘zaro taqqoslash, anomaliyalarni aniqlash
va stress-testlash usullaridan foydalanilgan. Ilmiy yangilik sifatida ma’lumotlar sifatini ta’minlash, model riskini
nazorat qilish hamda sun’iy intellekt asosida riskka oid qarorlarni standartlashtirish bo‘yicha takliflar ishlab
chiqilgan.

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Shaxsanam Yuzbayeva

Milliy Texnologik Tadqiqotlar Universiteti “MISIS” Olmaliq filiali
Moliya-iqtisod boʻlimi boshligʻi

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O‘ZBEKISTON RESPUBLIKASIDA KORPORATIV KREDITLASHDA SUN’IY INTELLEKT VA BIG DATA TEXNOLOGIYALARI ASOSIDA KREDIT RISKLARINI BOSHQARISH MEXANIZMLARINI TAKOMILLASHTIRISH

O‘ZBEKISTON RESPUBLIKASIDA KORPORATIV KREDITLASHDA SUN’IY INTELLEKT VA BIG DATA TEXNOLOGIYALARI ASOSIDA KREDIT RISKLARINI BOSHQARISH MEXANIZMLARINI TAKOMILLASHTIRISH

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Shaxsanam Yuzbayeva

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