Introduction to Artificial Intelligence and Machine Learning in Financial and E-Commerce

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has transformed operational, analytical, and decision-making processes across financial and e-commerce ecosystems. This book chapter provides a comprehensive examination of the foundational principles, computational models, and applied frameworks that enable intelligent automation, predictive analysis, and data-driven optimization in modern digital economies. Emphasis is placed on the integration of AI-driven mechanisms in banking operations, regulatory compliance, fraud detection, personalized customer engagement, and dynamic pricing systems, along with their growing influence on inventory management, logistics coordination, and supply chain efficiency within e-commerce environments. The discussion extends to advanced data storage architectures, security protocols, retrieval strategies, and governance frameworks required to ensure ethical, transparent, and responsible AI deployment. Through a multidisciplinary perspective, the chapter delineates the technological, organizational, and ethical structures that support scalable, resilient, and trustworthy AI-enabled systems. The insights presented contribute to a deeper understanding of how intelligent technologies redefine financial stability, operational agility, and consumer-centric value creation in increasingly interconnected digital landscapes.