Vol. 4 No. 2 (2024): Journal of AI-Assisted Scientific Discovery
Articles

AI-Enhanced Decision Support Systems for Project Management: Integrating Big Data for Real-Time Insights

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  • Emily Thompson
Emily Thompson
Associate Professor of Information Systems, University of California, Berkeley, USA
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Published 17-10-2024

Keywords

  • AI,
  • Decision Support Systems,
  • Project Management,
  • Big Data,
  • Real-Time Insights,
  • Informed Decision-Making
    • ...More
    Less
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

How to Cite

[1]
Emily Thompson, “AI-Enhanced Decision Support Systems for Project Management: Integrating Big Data for Real-Time Insights”, Journal of AI-Assisted Scientific Discovery, vol. 4, no. 2, pp. 65–72, Oct. 2024, Accessed: Nov. 16, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/171

Abstract

The rapid advancement of Artificial Intelligence (AI) technologies has significantly transformed decision-making processes across various industries. In project management, AI-driven decision support systems (DSS) have emerged as essential tools that leverage big data to provide real-time insights, thereby enhancing the decision-making capabilities of project managers. This paper examines the role of AI-enhanced DSS in project management, focusing on their ability to analyze large datasets, identify patterns, and facilitate informed decision-making. By integrating big data analytics with AI algorithms, these systems enable project managers to make timely and effective decisions, ultimately leading to improved project outcomes. The study discusses the key components of AI-enhanced DSS, their applications in project management, and the challenges organizations face when implementing these technologies. Furthermore, real-world case studies highlight successful applications of AI-driven DSS in project environments, illustrating their impact on project efficiency, risk management, and stakeholder engagement. The findings underscore the importance of embracing AI and big data technologies to remain competitive in today's dynamic project landscape.

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