AI-Driven Business Intelligence and Decision Making: Turning Data into Actionable Insights
Authors:-Aditya Kokate/strong>
Abstract- The integration of Artificial Intelligence (AI) into Business Intelligence (BI) is revolutionizing how organizations make decisions by automating data analysis and enhancing predictive capabilities. Traditional BI systems rely on static reporting and retrospective data interpretation, limiting their responsiveness in dynamic environments. In contrast, AI-powered BI systems leverage Machine Learning (ML), Natural Language Processing (NLP), and cognitive computing to transform raw data into actionable insights. This paper explores the architecture, implementation, and impact of AI-driven BI systems, emphasizing real-time analytics, predictive modeling, and explainable AI. The study demonstrates how AI enhances operational efficiency, data accuracy, and strategic foresight, offering a competitive advantage to modern enterprises.
