Artificial Intelligence Project Management Methodologies: Insights from Field Experts in Saudi Arabia
Keywords:
Artificial Intelligence, AI Workflow, Project Management Methodologies, Agile, HybridAbstract
This study investigates the impact of project management (PM) methodologies on the execution of Artificial Intelligence (AI) projects within Saudi Arabia, while also addressing challenges related to AI PM on a global scale. It explores unique difficulties in managing AI projects both locally and internationally. An exploratory research approach is used, drawing on case studies and literature to analyze AI project phases in leading companies. Surveys with AI experts and project managers in Saudi Arabia further illustrate current practices. Agile emerged as the most widely used methodology locally, applied in 60% of projects, most of which focused on applied AI. Globally, AI projects face issues such as unclear leadership, role ambiguity, inconsistent hybrid approaches, and nonlinear risks. These findings highlight the need for frameworks tailored to the complexity, uncertainty, and ethical dimensions of AI projects. This research contributes fresh insights into the field, supporting the development of targeted methodologies for managing AI initiatives and identifying areas for future work.
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