Artificial Intelligence Implementation in Project Management
Session
Information Systems
Description
In the modern business landscape, nearly a quarter of global economic activities are conducted through projects, yet around 35% of them fail to meet their goals. To improve project success rates, organizations utilize methodologies like PMBOK and PRINCE2, alongside Agile approaches, particularly in IT sectors. Recently, Artificial Intelligence (AI) has emerged as a transformative tool in project management, automating tasks, providing predictive analytics, and enhancing decision-making. Despite its benefits, AI introduces challenges such as algorithmic bias, transparency issues, and data privacy concerns. This paper discusses the impact of AI on project management, its implementation challenges, and the need for adaptive strategies to navigate these complexities.
Keywords:
Project management, Artificial Intelligence, PMBOK, PRINCE2, Agile, algorithmic bias, predictive analytics, automation
Proceedings Editor
Edmond Hajrizi
ISBN
978-9951-982-15-3
Location
UBT Kampus, Lipjan
Start Date
25-10-2024 9:00 AM
End Date
27-10-2024 6:00 PM
DOI
10.33107/ubt-ic.2024.298
Recommended Citation
skenderi, besnik and Skenderi, Diamanta, "Artificial Intelligence Implementation in Project Management" (2024). UBT International Conference. 11.
https://knowledgecenter.ubt-uni.net/conference/2024UBTIC/IS/11
Artificial Intelligence Implementation in Project Management
UBT Kampus, Lipjan
In the modern business landscape, nearly a quarter of global economic activities are conducted through projects, yet around 35% of them fail to meet their goals. To improve project success rates, organizations utilize methodologies like PMBOK and PRINCE2, alongside Agile approaches, particularly in IT sectors. Recently, Artificial Intelligence (AI) has emerged as a transformative tool in project management, automating tasks, providing predictive analytics, and enhancing decision-making. Despite its benefits, AI introduces challenges such as algorithmic bias, transparency issues, and data privacy concerns. This paper discusses the impact of AI on project management, its implementation challenges, and the need for adaptive strategies to navigate these complexities.