2025, Vol. 6, Issue 2, Part M
AI-driven predictive analytics for managerial decision-making: Frameworks, applications, and future directions
Author(s): Shefali M Agrawal
Abstract: Artificial Intelligence (AI)-driven predictive analytics has emerged as a pivotal technology transforming managerial decision-making processes across various industries. By harnessing machine learning algorithms and advanced data mining techniques, organizations can analyze vast datasets to forecast trends, anticipate risks, and optimize operations with unprecedented accuracy and speed. This research paper explores the integration of AI-based predictive analytics into managerial workflows, highlighting its role in enhancing decision precision, agility, and strategic alignment. It also addresses implementation challenges such as data quality, model interpretability, ethical issues, and organizational readiness. Through case studies and theoretical analysis, the paper demonstrates how AI-driven predictive analytics substantially improves managerial effectiveness, operational efficiency, and competitive advantage, driving innovation in the digital era.
DOI: 10.22271/27084515.2025.v6.i2m.842
Pages: 1181-1187 | Views: 62 | Downloads: 24
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How to cite this article:
Shefali M Agrawal. AI-driven predictive analytics for managerial decision-making: Frameworks, applications, and future directions. Asian J Manage Commerce 2025;6(2):1181-1187. DOI: 10.22271/27084515.2025.v6.i2m.842
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