AI-Driven Transformation in Finance: A Review of Emerging Trends

Abstract

Artificial Intelligence (AI) significantly transforms the financial sector, facilitating advancements in predictive analytics, process automation, and decision-making. Financial institutions are leveraging AI to analyze vast datasets rapidly, enabling more informed and accurate decision-making. AI models have found applications in a variety of financial domains, including banking, investment management, risk assessment, and regulatory compliance. By utilizing machine learning (ML), deep learning (DL), and natural language processing (NLP), AI enables more accurate predictions of market trends, enhances creditworthiness assessments, detects fraudulent activities, and optimizes investment strategies. This paper reviews the applications of AI in finance, focusing on emerging trends such as generative AI and AI-driven regulatory technology (RegTech). We examine the opportunities AI presents, such as cost reduction, enhanced operational efficiency, and personalized customer services, while acknowledging the challenges including algorithmic bias, data privacy, and regulatory compliance concerns. Ethical considerations play a crucial role in AI deployment, as risks related to discrimination and data security remain significant. Through a synthesis ...