AI-Driven Learning in Finance

Abstract

The integration of Artificial Intelligence (AI) in finance is transforming digital economics by enhancing decision-making, automating processes, and optimizing financial strategies. This book chapter explores AI-driven learning techniques, including machine learning, deep learning, and reinforcement learning, and their applications in financial markets, risk management, fraud detection, and algorithmic trading. We analyze the impact of AI on financial institutions, digital banking, and decentralized finance (DeFi), highlighting how AI enhances predictive analytics, customer experience, and regulatory compliance. Additionally, the chapter discusses the ethical and regulatory challenges of AI adoption in finance, emphasizing the need for transparency and fairness in AI-driven financial systems. By examining real-world case studies and emerging trends, this chapter provides a comprehensive overview of AI's role in shaping the future of digital economics.