Abstract
In the banking and finance sector, the integration of cloud computing and artificial intelligence (AI) technologies
within data warehousing solutions is revolutionizing data management, processing, and security. This
convergence is essential not only for handling complex datasets but also for meeting the growing demands for
scalability and enhanced security—both critical to modern financial systems. This article examines how cloud-AI
fusion addresses unique challenges in banking data warehousing, focusing on strategies to ensure scalability and
secure sensitive financial data. By exploring case studies and best practices, the article demonstrates how the
integration of cloud and AI transforms banking data warehousing to meet regulatory standards and accommodate
increased demand.