TY - GEN
T1 - AI-Powered IT Project Management
T2 - 2025 IEEE SoutheastCon, SoutheastCon 2025
AU - Das, Jiban Krisna
AU - Elegbe, Ifeoluwa
AU - Coffie, Lord
AU - Khadka, Rojeena
AU - Chen, Lei
AU - Ji, Yiming
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025/3/22
Y1 - 2025/3/22
N2 - The integration of Artificial Intelligence (AI) into project management has significantly transformed traditional methodologies, particularly within the Information Technology (IT) sector. This study investigates the effectiveness of AI-powered tools, specifically Asana, Jira, and Monday.com to improve project management efficiency through automation, resource optimization, and decision-making processes. Using a systematic literature review and quantitative analysis, the research highlights the capabilities and limitations of these tools in the management of complex IT projects. The study findings reveal that AI-powered platforms facilitate real-time tracking, predictive analytics and dynamic resource allocation, which collectively contribute to reduced project timelines and improved outcomes. However, challenges such as data quality, integration complexities, and the need for skilled personnel remain prevalent. The study was summarized with strategic recommendations for organizations to incorporate automation, leverage predictive analytics, and improve data integrity, thus maximizing the benefits of AI in project management. This research underscores the critical role of AI in modernizing project management practices, which ultimately leads to increased productivity and project success rates in the IT domain.
AB - The integration of Artificial Intelligence (AI) into project management has significantly transformed traditional methodologies, particularly within the Information Technology (IT) sector. This study investigates the effectiveness of AI-powered tools, specifically Asana, Jira, and Monday.com to improve project management efficiency through automation, resource optimization, and decision-making processes. Using a systematic literature review and quantitative analysis, the research highlights the capabilities and limitations of these tools in the management of complex IT projects. The study findings reveal that AI-powered platforms facilitate real-time tracking, predictive analytics and dynamic resource allocation, which collectively contribute to reduced project timelines and improved outcomes. However, challenges such as data quality, integration complexities, and the need for skilled personnel remain prevalent. The study was summarized with strategic recommendations for organizations to incorporate automation, leverage predictive analytics, and improve data integrity, thus maximizing the benefits of AI in project management. This research underscores the critical role of AI in modernizing project management practices, which ultimately leads to increased productivity and project success rates in the IT domain.
KW - AI-powered tools
KW - Artificial Intelligence
KW - Asana
KW - Jira
KW - Monday.com
KW - Project Management
UR - http://www.scopus.com/inward/record.url?scp=105004579382&partnerID=8YFLogxK
U2 - 10.1109/southeastcon56624.2025.10971718
DO - 10.1109/southeastcon56624.2025.10971718
M3 - Conference article
AN - SCOPUS:105004579382
SN - 9798331504847
T3 - SoutheastCon 2025
SP - 1554
EP - 1559
BT - Conference Proceedings - IEEE SOUTHEASTCON
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 March 2025 through 30 March 2025
ER -