Mr. Guru Prasad Selvarajan

Augmenting Business Intelligence with AI: A Comprehensive Approach to Data-Driven Strategy and Predictive Analytics

Abstract: The integration of Artificial Intelligence (AI) into Business Intelligence (BI) system represents a strategic transformation to how businesses interpret data and then make decisions. The reports from traditional BI tools are usually static and unable to provide in depth insights to tricky business problems. On the contrary, AI driven solutions deliver precision real time insights and predictive analytics that dramatically improve decision making capabilities. In this paper, we examine the various advantages of combining AI withBI, such as higher accuracy of predictive analytics, increased operational efficiency, and personal customer experiences. Finally, we consider key AI tools: Tableau, Power BI, and IBM Watson and their roles in improving data visualization and predictive modeling. Furthermore, problems with data quality, talent shortages and ethical issues in AI deployment are discussed, and potential solutions to these problems are devised. Through AI technologies, organizations are enabled to rapidly change technologies and efficiently be ready for future trends, helping organizations to have a competitive edge in a data driven world. The findings indicate that the future of BI remains tightly coupled with AI advancements, sparking businesses to adopt this transition for long term growth and advances.