This article examines methodological approaches to improving the efficiency of banking products through artificial intelligence technologies. The stages of integrating artificial intelligence into the banking product life cycle are systematized, and the interrelationship between process automation, predictive analytics, personalization, risk management, and adaptive product management is substantiated. A conceptual model incorporating data quality, algorithmic transparency, human oversight, and continuous monitoring is proposed.
| Mualliflar | Xujamuratov , Abbos, Хужамуратов , Аббос, Xujamuratov , Abbos |
|---|---|
| Jurnal | Илғор иқтисодиёт ва педагогик технологиялар |
| Nashr sanasi | 2026-07-20 |
| Jild | 3 |
| Son | 4 |
| Betlar | 43-52 |
| Til | O‘zbek |
| DOI | 10.60078/3060-4842-2026-vol3-iss4-pp43-52 |
DOI: 10.60078/3060-4842-2026-vol3-iss4-pp43-52 · Maqolaning asl sahifasi
artificial intelligence, banking products, efficiency, methodological approach, predictive analytics, personalization, risk management, digital banking services, искусственный интеллект, банковские продукты, эффективность, методологический подход, прогнозная аналитика, персонализация, управление рисками, цифровые банковские услуги, sun’iy intellekt, bank mahsulotlari, samaradorlik, metodologik yondashuv, prognozli tahlil, personallashtirish, risklarni boshqarish, raqamli bank xizmatlari
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