AI AND BIG DATA: TRANSFORMING FINANCIAL DATA WAREHOUSING FOR PREDICTIVE ANALYTICS

The financial sector is undergoing a profound transformation through the integration of artificial intelligence (AI) and big data into traditional data warehousing frameworks, facilitating advanced predictive analytics. This paper examines the role of AI, big data, and Enterprise Application Integration (EAI) in enhancing financial data warehousing, enabling institutions to overcome challenges related to data integration, real-time processing, and predictive modeling. We analyze key applications in risk management, fraud detection, and algorithmic trading, highlighting the role of EAI in bridging legacy systems with advanced analytics. Our findings suggest that integrating these technologies enables financial institutions to achieve operational efficiency, innovation, and competitive advantage.