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AI-Driven Resource Optimization in Agile Project Management: Balancing Efficiency and Flexibility

Authors :
Emily Turner
Emily Turner
Source :
Journal of Artificial Intelligence Research; Vol. 4 No. 2 (2024): Journal of Artificial Intelligence Research; 79-85; 2583-7435
Publication Year :
2024

Abstract

This paper examines the application of Artificial Intelligence (AI) in optimizing resource allocation within Agile project management environments. Agile methodologies are characterized by their iterative development cycles and a focus on flexibility and responsiveness to change. However, optimizing resource allocation in such dynamic settings can be challenging. This research explores various AI-driven strategies that enhance resource management without compromising the inherent flexibility of Agile practices. By analyzing case studies and current literature, the paper highlights how AI can facilitate more efficient resource utilization, improve decision-making processes, and ultimately lead to better project outcomes. The findings indicate that AI technologies not only support efficiency but also enhance the adaptability of Agile teams, enabling them to respond effectively to evolving project requirements.

Details

Database :
OAIster
Journal :
Journal of Artificial Intelligence Research; Vol. 4 No. 2 (2024): Journal of Artificial Intelligence Research; 79-85; 2583-7435
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1473148131
Document Type :
Electronic Resource