Author
Abstract
The integration of Artificial Intelligence (AI) in program management represents a transformative shift in how organizations approach project planning, execution, and monitoring. This comprehensive article examines the multifaceted impact of AI technologies across various aspects of program management, including project planning, risk management, process automation, team collaboration, and strategic decision-making. Through analysis of recent research and industry implementations, it explores how AI-powered solutions enhance decision-making processes, improve risk identification and mitigation strategies, and optimize resource allocation. The article demonstrates that AI systems effectively process vast amounts of project data to generate actionable insights, enabling more informed decision-making and proactive project management approaches. Furthermore, the article investigates how AI facilitates team collaboration through advanced communication analysis and automated workflow optimization. It indicate that while AI significantly augments project management capabilities through automation and advanced analytics, human judgment remains crucial for strategic decision-making and complex problem-solving. The article concludes by examining future implications and emerging trends in AI-driven project management, highlighting the importance of balanced integration between technological capabilities and human expertise.
Suggested Citation
Gaurav Gupta, 2025.
"The Impact of Artificial Intelligence on Modern Program Management,"
International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(1), pages 592-600, February.
Handle:
RePEc:jbh:ijsrcs:v11:y2025:i1:id:714
DOI: 10.32628/CSEIT25111266
Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25111266
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:714. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.