"Title: Machine Learning Model Prediction of Project Success
Authors: Moravej, Kamal;
Laroche, Sherry L;
Musick, Sean
Affiliation: Canadian Nuclear Laboratories, Canada
Keywords: Machine Learning, Project Success, Prediction, Enabling Decisions
Session: Data Analysis, Simulation, & Resilience
Paper Link: 10.35490/EC3.2024.196
Abstract: Managing projects can be challenging with institutionalism and enterprise environments. Artificial intelligence can be used to augment decision-making by enhancing the understanding of ""drivers"" enabling project performance. Research was performed to determine if a supervised machine learning model could predict the project's performance at fiscal year end, utilizing mid-year information. Enterprise Data, from annual performance data was used to train and evaluate several machine learning models. The results are promising, and indicate the potential of identifying projects needing monitoring at mid-year. Organizations could use a similar methodology to support decision-making and focus on the highest-value projects with predictable outcomes."
15 сен 2024
