O‘ZBEKISTON RESPUBLIKASIDA KORPORATIV KREDITLASHDA SUN’IY INTELLEKT VA BIG DATA TEXNOLOGIYALARI ASOSIDA KREDIT RISKLARINI BOSHQARISH MEXANIZMLARINI TAKOMILLASHTIRISH
DOI:
https://doi.org/10.5281/zenodo.21714377Ключевые слова:
korporativ kreditlash, kredit riski, sun’iy intellekt, Big Data, skoring, stress-test, model riski.Аннотация
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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