Study of artificial intelligence models for big data analysis in project management

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This study explores the application of artificial intelligence (AI) and machine learning (ML) models for big data analysis in project management. By leveraging specific ML algorithms such as decision trees, random forests, support vector machines, neural networks, k-means clustering, gradient boosting, and natural language processing, project management practices are significantly enhanced. These technologies improve decision-making, resource allocation, and risk management. The implementation of these models involves addressing technical challenges, ensuring data quality, and adhering to ethical and privacy standards. This research provides an understanding of the transformative potential of AI and ML in optimizing project management.

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Artificial intelligence (ai), machine learning (ml), big data, project management, decision trees, neural networks, risk management

Короткий адрес: https://sciup.org/170206385

IDR: 170206385   |   DOI: 10.24412/2500-1000-2024-8-3-180-185

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