TRANSFORMING FINANCIAL SERVICES: THE STRATEGIC ROLE OF ARTIFICIAL INTELLIGENCE IN FRAUD DETECTION, RISK MITIGATION, AND CUSTOMER ENGAGEMENT
DOI:
https://doi.org/10.59415/mjacs.349Keywords:
Artificial Intelligence Financial Services, Fraud Detection, Risk Mitigation, Customer Engagement, Machine Learning(ML), Predictive and, Analytics, Digital Transformation, FinTech, Ethical AI, Regulatory Compliance.Abstract
Artificial Intelligence (AI) is rapidly becoming a transformative force, in the financial services industry, revolutionizing traditional practices and, creating strategic value across key operational domains. This article critically examines the evolving role of AI in three vital areas: fraud detection, risk mitigation, and customer engagement. As digital transactions grow exponentially and, cyber threats become more sophisticated, financial institutions are leveraging AI-powered tools to detect and prevent fraudulent activities in real time. Advanced machine learning(ML) algorithms, anomaly detection techniques, and behavioral pattern recognition are helping institutions identify suspicious activities proactively, thereby minimizing financial losses and ensuring regulatory compliance.
In the realm of risk mitigation, AI enhances the accuracy and speed of credit scoring, risk forecasting, and portfolio management through real-time analytics and predictive modeling. These tools support agile decision-making and enable firms to respond more effectively to market volatility and credit risk exposure. Simultaneously, AI is reshaping customer engagement through intelligent chatbots, personalized financial recommendations, and sentiment analysis, driving improvements in user experience, satisfaction, and long-term loyalty.
The article draws from current academic literature, empirical studies, and industry cases are examples to explore the strategic benefits, practical applications, and implementation challenges, of AI in financial services. Despite its promise, several barriers—such as concerns over data privacy, ethical usage, regulatory uncertainty, & the need for robust technological infrastructure—continue to hinder widespread AI adoption. This paper concludes by advocating for strong AI governance, investment in talent and digital infrastructure, and collaborative regulatory frameworks as essential enablers of sustainable, AI-driven innovatively in the financial sector.
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