AI-Driven Business Intelligence: Leveraging Predictive Analytics for Data-Driven Decision Making
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V5I3P102Keywords:
AI-driven Business Intelligence, Predictive Analytics, Machine Learning, Explainable AI, Federated Learning, Quantum Computing, Edge Computing, Data Privacy, Model Interpretability, Real-Time Decision-MakingAbstract
In the rapidly evolving landscape of business, the integration of Artificial Intelligence (AI) and Business Intelligence (BI) has emerged as a transformative force. This paper explores the synergies between AI and BI, focusing on the role of predictive analytics in enhancing data-driven decision-making. We delve into the theoretical foundations, practical applications, and future prospects of AI-driven BI. The paper also presents case studies, empirical evidence, and algorithmic frameworks to illustrate the potential and challenges of this integration. By leveraging AI-driven predictive analytics, organizations can gain deeper insights, improve operational efficiency, and achieve a competitive edge in the market
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