LEVERAGING ARTIFICIAL INTELLIGENCE TO OPTIMIZE SOFTWARE PROJECT MANAGEMENT: ENHANCING EFFICIENCY, RISK MITIGATION, AND DECISION-MAKING

Authors

  • Rashid Mahmood, Saleem Mustafa, Hamza Asif , Ali Raza, Muqaddas Salahuddin

DOI:

https://doi.org/10.12345/f42z1z57

Abstract

This study investigates how artificial intelligence (AI) might be incorporated into project management procedures to enhance productivity and decision-making. The use of AI to improve project management procedures is becoming more and more important as businesses depend on them to carry out tasks, produce results, and accomplish goals. This study explores the possible advantages, difficulties, and ramifications of integrating artificial intelligence (AI) methods in project management by looking at case studies, theoretical frameworks, and existing literature. It seeks to shed light on how AI might improve stakeholder communication, risk management, scheduling, resource allocation, and project planning. The study also looks at the societal effects and ethical issues surrounding the use of artificial intelligence in project management. This study advances knowledge of how artificial intelligence (AI) can be successfully applied to improve project management procedures and propel organizational success across a range of industries by examining theoretical viewpoints and real-world applications.

Downloads

Published

2025-04-09

How to Cite

LEVERAGING ARTIFICIAL INTELLIGENCE TO OPTIMIZE SOFTWARE PROJECT MANAGEMENT: ENHANCING EFFICIENCY, RISK MITIGATION, AND DECISION-MAKING. (2025). Contemporary Journal of Social Science Review, 3(2), 146-157. https://doi.org/10.12345/f42z1z57