Vol. 4 No. 2 (2024): African Journal of Artificial Intelligence and Sustainable Development
Articles

AI in Agile Project Management: Automating Sprint Planning and Progress Tracking

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  • Dr. Emily Carter
Dr. Emily Carter
Assistant Professor, Department of Information Systems, University of Toronto, Toronto, Canada

Published 28-09-2024

Keywords

  • Artificial Intelligence,
  • Agile Project Management
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
D. E. Carter, “AI in Agile Project Management: Automating Sprint Planning and Progress Tracking”, African J. of Artificial Int. and Sust. Dev., vol. 4, no. 2, pp. 77–83, Sep. 2024, Accessed: Nov. 06, 2024. [Online]. Available: https://africansciencegroup.com/index.php/AJAISD/article/view/175

Abstract

The advent of Artificial Intelligence (AI) has revolutionized various sectors, including project management. This paper investigates the integration of AI tools in Agile project management, focusing on automating sprint planning and progress tracking. Agile frameworks, characterized by iterative development and flexibility, demand efficient planning and continuous monitoring to ensure team productivity and project success. AI technologies, such as machine learning algorithms and natural language processing, provide solutions to automate routine tasks involved in sprint planning and progress tracking. By analyzing historical project data, AI can predict workload, optimize task assignments, and enhance communication within teams. This research highlights the benefits of incorporating AI into Agile practices, emphasizing increased efficiency, improved decision-making, and enhanced team collaboration. Case studies of organizations successfully implementing AI tools in Agile environments illustrate the tangible benefits achieved, including faster delivery times and higher stakeholder satisfaction. Ultimately, this paper argues that leveraging AI in Agile project management can lead to significant improvements in workflow automation and team performance.

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