This book offers a comprehensive introduction to Generative Artificial Intelligence (GenAI) and its growing influence in the financial and banking sectors. It explains the evolution of AI technologies, their applications in banking, and the differences between traditional AI and Generative AI systems. The book also discusses the foundations of regulated financial systems, including banking regulations, compliance requirements, risk management frameworks, and data governance practices. In addition, readers gain knowledge about advanced AI technologies such as Large Language Models (LLMs), transformers, training data pipelines, APIs, and system integration methods used in financial AI solutions.

The book further explores responsible AI principles such as fairness, transparency, explainability, accountability, and bias mitigation in financial applications. It presents practical use cases including fraud detection, customer support chatbots, document processing, credit risk assessment, RegTech applications, and personalized banking services. Special attention is given to AI risks, cybersecurity, privacy laws, deployment frameworks, model validation, and performance monitoring. Finally, the book examines future trends such as autonomous banking, AI regulations, blockchain integration, sustainable AI practices, and strategic implementation roadmaps, making it a valuable resource for students, researchers, academicians, and banking professionals.