THE ROLE OF AI-DRIVEN MODELS IN ENHANCING DATA-DRIVEN DECISION MAKING

Abstract

In the modern digital economy, organizations are increasingly turning to artificial intelligence (AI) to improve the quality and speed of decision-making processes. AI-driven models, particularly those powered by machine learning and deep learning, enable businesses to extract insights from large-scale, complex datasets with unprecedented accuracy. This article explores the integration of AI-driven models into decision-making workflows and examines their capacity to support predictive, prescriptive, and real-time analytics. We highlight key application domains, the challenges in implementation, and the future potential of AI-augmented decision systems. Our findings suggest that AI significantly boosts organizational agility, fosters innovation, and enhances competitive advantage through smarter and faster data-driven decisions.