Evaluating the role of Artificial Intelligence and Machine Learning in Enhancing Project Management Processes: In The Case of Fairfax Solutions Tech PLC
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Date
2024-09
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Addisabeba Universty
Abstract
The primary aim of this research was to investigate the role of artificial intelligence (AI) and machine learning (ML) on project management methodologies at Fairfax Solution Tech PLC. The research employed a descriptive design to explore how these technologies influence various aspects of project management within the company. Using a qualitative approach, the study involved in-depth interviews and document analysis with project managers, stakeholders, and employees directly engaged in project management. A purposive sampling method selected ten participants. Data collection methods included semi-structured interviews and the review of project-related documents. Qualitative data analysis revealed significant enhancements in project planning accuracy, real-time monitoring, risk assessment, and data-driven decision-making processes due to AI and ML integration. The findings showed that AI and ML improve efficiency, reduce costs, and lead to better project outcomes. These technologies support Fairfax Solution Tech PLC in maintaining a competitive edge through optimized project management practices. The study concluded that AI and ML have substantial potential to transform project management. Recommendations included further exploration of AI and ML applications, ongoing staff training, and fostering a culture of innovation within the organization.
Keywords: Machine Learning, Artificial intelligence, Project Management Process, Qualitative data.