Artificial Intelligence in Business Intelligence: Enhancing Predictive Analytics for Smarter Decision-Making

Ahmad Zaid, Ferry Herry

Abstract


This paper explores the integration of Artificial Intelligence (AI) into Business Intelligence (BI) systems to enhance predictive analytics and decision-making. With the growing complexity and volume of data in business environments, traditional BI systems often fail to provide actionable insights. AI techniques, including machine learning (ML) algorithms, deep learning (DL), and natural language processing (NLP), have shown promising improvements in the accuracy and speed of data analysis. This study investigates how AI-driven predictive analytics can be used to forecast trends, detect anomalies, and support business decisions. The findings suggest that AI applications in BI systems improve decision-making, efficiency, and responsiveness, offering a competitive edge in rapidly changing industries.

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