International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 3 (May-June 2025) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

The Role of Artificial Intelligence and Machine Learning in Optimizing Operational Decision-Making Post-Pandemic

Author(s) Mr. Farhan Khan
Country India
Abstract The COVID-19 pandemic significantly disrupted global operations, forcing businesses and industries to reevaluate their decision-making processes. In response, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative tools for optimizing operational decision-making in the post-pandemic era. The objective of this study is to explore the role of AI and ML in enhancing efficiency, resilience, and adaptability across various sectors. This research investigates AI-driven decision-making models and their contributions to supply chain management, healthcare, finance, and human resource operations. By understanding the capabilities and challenges associated with AI and ML integration, the study aims to provide actionable insights for organizations seeking to strengthen their operational strategies in an uncertain environment
Keywords Artificial Intelligence, Machine Learning, Operational Efficiency
Field Business Administration
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-08
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.41483
Short DOI https://doi.org/g9hsk4

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