Publication Details
Issue: Vol 2, No 5 (2025)
ISSN: 2997-934X

Abstract

AI-driven predictive analytics has transformed modern business strategy by enabling companies to make data-driven, proactive decisions. By leveraging machine learning and big data, predictive analytics allows businesses to forecast future trends, customer behaviors, and operational risks, optimizing decision-making across various functions. This approach enhances efficiency, customer personalization, and competitive positioning. However, the successful implementation of predictive analytics relies on the quality of data and the transparency of AI algorithms. By addressing challenges related to data governance and the "black box" problem, companies can fully harness the potential of predictive analytics for long-term growth and success. As AI technologies continue to advance, businesses that invest in predictive models will gain significant competitive advantages, driving innovation and agility in an ever-evolving market.

Keywords
AI-driven predictive analytics business strategy proactive decision-making big data machine learning customer personalization data quality explainable AI