Ready for Managing AI Projects? An Analysis of AI Project Management Frameworks
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Date
2025-01-07
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5514
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Recent advances in AI models and their integration in cloud service platforms like Microsoft Azure accelerate the options to develop individual AI solutions. Despite expanding technical possibilities, organizations still fail to successfully execute AI projects and sustainably integrate the solutions. Hence, it remains questionable whether existing project management frameworks cover the holistic complexity of individual AI projects and enable decision-makers to navigate the manifold challenges associated with AI projects. The present study aims to fill this research gap through a qualitative research approach. A structured literature review and 12 expert interviews examined by thematic analysis provide 54 AI project management challenges along 16 requirement clusters. These requirements are applied to evaluate twelve established AI-related project management frameworks. Seven areas for improvement were identified, relating to AI ethics, regulation, culture, evaluation, sourcing, impact, and modularity guidelines. Thus, this work serves as a fundament for designing novel AI project management artifacts.
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AI, Organizing, and Management, ai project management, ai project management challenges, ai project management frameworks, artificial intelligence
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10
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Proceedings of the 58th Hawaii International Conference on System Sciences
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Attribution-NonCommercial-NoDerivatives 4.0 International
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