Challenges and Solutions in Integrating AI with Data Warehousing: A Comprehensive Framework

Abstract

This paper presents a comprehensive framework for understanding the challenges and solutions associated with integrating artificial intelligence (AI) with data warehousing. As organizations increasingly rely on data-driven decision-making, the convergence of AI and data warehousing offers significant opportunities for enhancing data analytics capabilities. However, several challenges impede this integration. This paper identifies these challenges, proposes practical solutions, and outlines a framework for successful integration, providing insights for practitioners and researchers in the field.