The Role of Artificial Intelligence in Enhancing Decision-Making in Enterprise Information Systems

Abstract

Artificial Intelligence (AI) has rapidly evolved from a theoretical concept to a practical toolkit for businesses seeking to gain competitive advantage through data-driven insights. This paper examines the role of AI in enhancing decision-making within Enterprise Information Systems (EIS). By leveraging AI-driven tools, algorithms, and real-time data integration, organizations can optimize processes and improve business intelligence. This study draws on recent industry case studies and real-time datasets—such as streaming data from IoT devices, sales platforms, and third-party data services—to illustrate successful use cases. A conceptual framework is presented for implementing AI-driven decision-making, focusing on data governance, machine learning pipelines, and interpretability. The paper concludes with recommendations for enterprise architects, data strategists, and IT leaders, emphasizing the importance of building agile, AI-ready enterprise infrastructures that can adapt to evolving market demands.