The application of Artificial Intelligence (AI) in financial services is reconfiguring the sector's architecture by streamlining processes, augmenting decision-making, and enhancing customer experiences. This paper discusses the multiple applications of AI in financial services, ranging from fraud detection and credit risk assessment to algorithmic trading, robo-advisory, customer service, and regulatory compliance. Based on a careful review of existing technologies and practical applications, the study identifies the enormous advantages of AI in enhancing operational efficiency, personalization, and cost savings. Nevertheless, the paper also discusses major issues, such as data privacy issues, ethical considerations, algorithmic bias, regulatory ambiguity, and the requirement for human intervention. The study concludes that although AI has immense potential to transform the financial sector, its transparent and responsible use is imperative to ensure trust, fairness, and long-term sustainability. This paper is a guide for financial institutions, policymakers, and technology experts to effectively navigate the new AIfinance landscape.
Artificial Intelligence (AI), Financial Services, Risk Assessment, Credit Risk Assessment, Fraud Detection, Digital Transformation, Robo-Advisors.