International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Data-Driven Decision-Making in Project Management

Author(s) Sandeep Ramanamuni
Country United States
Abstract Artificial intelligence and data analytics have changed the entire course of managing projects in traditional practices and, very significantly, in supply chain project execution itself. The present paper assesses how these AI-driven technologies, such as machine learning, predictive analytics, and natural language processing, could have a positive bearing on the decision-making process in project environments. Efficiency demands an increase in an organization's overall value, coupled with the increased expectation of transparency and agility in internal operations. Thus, better resource allocation, risk avoidance, and a more operationally optimized environment should be possible by implementing data-driven tools. The study reports the key areas of application of artificial intelligence technologies like mining data, learning from data, and processing natural languages. As supporting numbers, this includes the growth and adoption rate of AI for project management in the market in 2020 and beyond, which will indicate the increased value toward performance results as well as competitiveness among organizations. Lastly, the paper makes a few recommendations for future research advocacy for a need to consider particular industries, responsive models for risk management, and the use of ethical frameworks in AI applications for project settings.
Field Engineering
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-11
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.39467
Short DOI https://doi.org/g883sk
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E-ISSN 2582-2160
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