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

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

Authors

Institutions

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-05-08
DOI
https://doi.org/10.36948/ijfmr.2025.v07i03.41483
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Farhan Mateen Khan
International Journal For Multidisciplinary Research
COVID-19 diagnosis using AI
article

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

Farhan Mateen Khan
article en

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

International Journal For Multidisciplinary ResearchVol. 7(3)
Galgotias University (IN)
Openalex Percentile: Top 85%
COVID-19 diagnosis using AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.