A Proposal for Research on the Application of AI/ML in ITPM: Intelligent Project Management

A Proposal for Research on the Application of AI/ML in ITPM: Intelligent Project Management

Anoop Mishra, Abhishek Tripathi, Deepak Khazanchi
DOI: 10.4018/IJITPM.315290
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Abstract

According to the market research firm Tractica, the global artificial intelligence software market is forecast to grow to 126 billion by 2025. Additionally, the Gartner group predicts that during the same time as much as 80% of the routine work ,  which represents the bulk of human hours spent in today's project management (PM) activities, can be eliminated because of collaboration between humans and smart machines. Today's PM practices rely heavily on human input. However, that is not the optimum use of the human project manager's intuitive, innovative, and creative abilities. Many aspects of a project manager's work could be managed by machines that utilize AI/ML approaches to address nonroutine and predictive tasks. This paper describes IT project management (ITPM) processes and associated tasks and identifies the AI/ML approaches that can support them.
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Project Management

PM processes are used to achieve project goals in a certain amount of time and budget by following guidelines that allow the use of knowledge and skills to be incorporated efficiently (Varajão et al., 2017). In this context, for example, the PM body of knowledge (PMBOK® Guide) prescribes a global standard for PM professionals (Project Management Institute, 2017). In this paper, the authors use the PMBOK® Guide five process groups (i.e., initiation, planning, execution, monitoring, control, and closing) to determine tasks that, in these groups, are conducive to AI/ML approaches (Varajão et al., 2017). Below, Table 1 provides a summary description of these processes (Project Management Institute, 2017).

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