Digital Transformation in Financial Services
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Key directions for reforming credit mechanisms through digital technologies and data-driven solutions, aiming to optimize lending processes, reduce operational costs, and improve customer experience are examined, with particular attention given to Artificial Intelligence, Machine Learning, and Big Data analytics in automated credit scoring and risk assessment.
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In the context of rapid digital transformation, modernizing commercial bank credit services has become a strategic priority. This article examines key directions for reforming credit mechanisms through digital technologies and data-driven solutions, aiming to optimize lending processes, reduce operational costs, and improve customer experience. Particular attention is given to Artificial Intelligence (AI), Machine Learning (ML), and Big Data analytics in automated credit scoring and risk assessment. The study also analyzes end-to-end digital lending channels, open banking APIs for real-time decision-making, and the potential of blockchain and smart contracts to enhance transparency and security. Key challenges, including cybersecurity, regulatory compliance, and data privacy, are discussed alongside practical solutions. The paper concludes with strategic recommendations to strengthen banks' competitiveness, improve credit portfolio quality, and expand financial inclusion.
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@article{Abdijabborovich2026STRATEGIC,
title = {STRATEGIC DIRECTIONS FOR MODERNIZING CREDIT SERVICES IN COMMERCIAL BANKS UNDER DIGITAL TRANSFORMATION},
author = {Fayziyev Hamid Abdijabborovich},
journal = {Innovatsion iqtisodiyot},
year = {2026},
doi = {10.70769/3030-315x.ii.10.10.2026.16},
url = {https://doi.org/10.70769/3030-315x.ii.10.10.2026.16}
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