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Natarajan, R., & Balachandran, K. (2022). Ensemble Model of Machine Learning for Integrating Risk in Software Effort Estimation. In M. Saraswat, H. Sharma, K. Balachandran, J. H. Kim, & J. C. Bansal (Eds.), Congress on Intelligent Systems (pp. 635-644). Springer Nature Singapore.
https://doi.org/10.1007/978-981-16-9416-5_46

has been cited by the following article:

• TITLE: Transforming Project Management with AI: Opportunities and Challenges

  AUTHORS: Rahul Yadav

  KEYWORDS: Project Management, PM Process Groups, Machine Learning, Data-Analytics Tools, Artificial Intelligence

  JOURNAL NAME: Open Journal of Business and Management, Vol.12 No.6, October 21, 2024

  ABSTRACT: The project management field is common in several industries, and it is not an exception to the innovations powered by artificial intelligence. Nonetheless, the application of artificial intelligence in project management is a little extensive. The objective of this study is to acknowledge the prospects and challenges of Artificial Intelligence in the domain of project management. This study presents a systematic literature review examining the opportunities and challenges of implementing AI-based techniques in project management. The paper aims to provide key insights into how AI is transforming project management. The study utilized SLR methodology, and a total of 21 articles were reviewed. The findings and analysis show that there is greater interest among stakeholders in this field, although some areas are yet to be explored.