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All Journal International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
Walaa Alsumari
King Abdulaziz City for Science and Technology, Saudi Arabia; King Saud University, Saudi Arabia
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Artificial Intelligence Project Management Methodologies: Insights from Field Experts in Saudi Arabia Walaa Alsumari; Omer Alrwais
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 6 No. 2 (2025): INJIISCOM: VOLUME 6, ISSUE 2, DECEMBER 2025
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v6i2.16127

Abstract

This study investigates the impact of project management (PM) methodologies on Artificial Intelligence (AI) project execution in Saudi Arabia, while addressing global AI PM challenges. Utilizing an exploratory approach combining literature reviews, multi-company case studies, and surveys with 31 local AI practitioners, this research analyzes operational workflows. Locally, Agile dominates, being applied in 60% of projects primarily focused on applied AI. Globally, projects grapple with unclear leadership, role ambiguity, inconsistent hybrid setups, and non-linear risks. These insights highlight the critical need for purpose-built frameworks tailored to AI’s inherent complexity, technical uncertainty, and ethical demands, paving the way for optimized regional AI initiatives.
Co-Authors Omer Alrwais