Abstract
Research, based on case studies and literature reviews, provides tangible evidence of the practical benefits of using Artificial Intelligence (AI) tools in project management (PM), such as optimizing resource allocation, risk analysis, monitoring project progress, and report generation. This paper seeks to better understand the use of AI tools in PM, underlining how these technologies can enhance efficiency and effectiveness. We explore AI tools using neural networks, machine learning, deep learning, and natural language processing (NLP), and discuss their applications in project performance domains. Our research demonstrates how these tools can automate routine tasks, analyze large data sets, predict outcomes, and improve team communication and collaboration. As part of this research-in-progress, we will conduct interviews and surveys with project professionals to identify the challenges and impacts of AI tools in their daily tasks. We aim to provide valuable insights for effectively adopting AI in PM. This work contributes to understanding the changes AI can bring to PM and offers guidelines for implementing these technologies.
Recommended Citation
Chaves, Marcirio Silveira; Alves, Jefferson Rodrigues; and Curço, Eduardo Fuchs, "Understanding the role of Artificial Intelligence tools in project performance domains" (2024). MCIS 2024 Proceedings. 13.
https://aisel.aisnet.org/mcis2024/13