Author(s): Syed Abdul Kareem

Abstract: Artificial intelligence (AI) implementation in project management is providing various benefits, including time-saving, efficient data management, and allocation of resources. Even though the AI supervision system for the project can be thought of as a mechanism that manages tasks and carries out standard management activities without the need for human supervision or input. The massively parallel machine can now recognise and swiftly get around workflow obstacles thanks to the use of AI, which has caused it to conform to specified rules and procedures. The expanded understanding of alternative outcomes offered by AI-based project management has significantly improved the decision-making process. The current study aimed to examine the recent project management techniques using AI while exploring the opportunities it gives in the procedure facilitating rapid project execution and assuring quality. The study also highlighted the challenges faced by project managers due to data breaches, safety concerns, and employment insecurities. In addition, to help the project manager in implementing AI effectively with minimising risks, best practices and models have been discussed and explored in this study. The study utilised a semi-structured interview with project managers who are associated with several international organisations. The primary data was used in this study obtained from the open-ended questions and respondent component of the data that was gathered. Even though books and journals served as the central information sources for this study, only peer-reviewed materials were used. The findings of this study concluded that project management is heavily impacted by AI implementation due to its accessible automation, efficiency, and decision-making capabilities.

Pages: 31-41 | Views: 237 | Downloads: 105

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