AI-Driven Innovations in Fintech: Applications, Challenges, and Future Trends

Abstract

Integrating Artificial Intelligence (AI) and Machine Learning (ML) in fintech has revolutionized trading, risk management, fraud detection, and regulatory compliance. AI-driven automation enhances efficiency, while predictive analytics improves market forecasting and decision-making. Case studies demonstrate significant transformations in financial institutions, reducing operational costs and increasing accuracy. However, challenges such as data security, model interpretability, and bias remain critical concerns. This paper explores the impact of AI and ML in fintech, analyzing their benefits, limitations, and future implications for practitioners and regulators. Recommendations for improving AI transparency and regulatory adaptability are also discussed.