ARTIFICIAL INTELLIGENCE IN BANKING
Keywords:
Artificial Intelligence (AI), Banking, FinTech, Fraud Detection, Credit Scoring, Customer Experience, Risk Management, Governance, Digital Transformation, Robo-advisoryAbstract
The banking industry is undergoing a major transformation as artificial intelligence (AI) technologies become increasingly embedded in processes, decision-making, risk management, and customer-facing services. This article explores how AI is being leveraged by banks and financial institutions, identifies key use-cases (such as fraud detection, credit scoring, robo-advisory, customer service), discusses the enabling technologies and organisational enablers (data and infrastructure, analytics capability, regulatory/governance aspects), reflects on the benefits (efficiency, accuracy, cost-reduction, customer experience) as well as the risks and challenges (data privacy, model bias, regulatory compliance, organisational change). Finally, the article offers a forward-looking perspective on how banks can become “AI-first” institutions, and what this means for stakeholders in banking including regulators, customers, and executives.
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References
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Madina E. MAMLAKAT INNOVATSION SALOHIYATI //PSIXOLOGIYA VA PEDAGOGIKA FANLARARASI FANLAR SIFATIDA Shakllanishi. – 2025. – T. 4. – No 40. – 197-201-betlar.
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