Strategic Innovations: Artificial Intelligence's Role in Portfolio, Program, and Project Risk Management

This interdisciplinary research paper explores the transformative role of Artificial Intelligence (AI) in risk management across portfolios, programs, and projects.It examines how AI technologies, such as machine learning, predictive analytics, and data mining, enhance the identification, analysis, and monitoring of risks, offering significant improvements over traditional methods.The findings indicate that AI not only increases the efficiency and accuracy of risk assessments but also provides strategic decision support, enabling a proactive approach to risk management.This study analyzes the implementation challenges and ethical considerations associated with integrating AI into risk management practices, providing recommendations for organizations aiming to leverage these technologies.The potential of AI to fundamentally reshape risk management practices is discussed, emphasizing its role in driving better decision-making and strategic planning in complex risk environments.

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Publication Details

Journal
International Journal of Computer Applications
Published
2025-01-28
DOI
https://doi.org/10.5120/ijca2025924380
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
2.28
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article

Strategic Innovations: Artificial Intelligence's Role in Portfolio, Program, and Project Risk Management

Mayur Jariwala
1 citations
International Journal of Computer Applications
Big Data and Business Intelligence
2.28
article

Strategic Innovations: Artificial Intelligence's Role in Portfolio, Program, and Project Risk Management

Mayur Jariwala
article en
1 citations

Abstract

This interdisciplinary research paper explores the transformative role of Artificial Intelligence (AI) in risk management across portfolios, programs, and projects.It examines how AI technologies, such as machine learning, predictive analytics, and data mining, enhance the identification, analysis, and monitoring of risks, offering significant improvements over traditional methods.The findings indicate that AI not only increases the efficiency and accuracy of risk assessments but also provides strategic decision support, enabling a proactive approach to risk management.This study analyzes the implementation challenges and ethical considerations associated with integrating AI into risk management practices, providing recommendations for organizations aiming to leverage these technologies.The potential of AI to fundamentally reshape risk management practices is discussed, emphasizing its role in driving better decision-making and strategic planning in complex risk environments.

International Journal of Computer ApplicationsVol. 186(61)
University of the Cumberlands (US)
Openalex Percentile: Top 15%
Big Data and Business Intelligence
2.28
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