Book
Harnessing AI for project risk management:a paradigm shift
| العنوان: | Harnessing AI for project risk management:a paradigm shift |
|---|---|
| المؤلفون: | Li, He, Yazdi, Mohammad, Nedjati, Arman, Moradi, Rosita, Adumene, Sidum, Dao, Uyen, Moradi, Amirhossein, Haghighi, Aida, Obeng, Francis Eemmanuel, Huang, Cheng-Geng, Kang, Hooi Siang, Pirbalouti, Reza Ghasemi, Zarei, Esmaeil, Dehghan, Majeed, Darvishmotevali, Mahlagha, Ghasemi, Peiman, Fard, Payam Shayan, Garg, Harish |
| المساهمون: | Yazdi, Mohammad |
| المصدر: | Li , H , Yazdi , M , Nedjati , A , Moradi , R , Adumene , S , Dao , U , Moradi , A , Haghighi , A , Obeng , F E , Huang , C-G , Kang , H S , Pirbalouti , R G , Zarei , E , Dehghan , M , Darvishmotevali , M , Ghasemi , P , Fard , P S & Garg , H 2024 , Harnessing AI for project risk management : a paradigm shift . in M Yazdi (ed.) , Progressive decision-making tools and applications in .... |
| بيانات النشر: | Springer, Springer Nature |
| سنة النشر: | 2024 |
| مصطلحات موضوعية: | Project risk management, Artificial intelligence (AI), Predictive analytics, Machine learning, Hidden patterns, Proactive risk anticipation, Simulation-based mitigation, Cognitive capabilities, Data aggregation, Response strategies, Collaboration, Decision-making, Ethical considerations, Transparency, Accountability, Algorithmic decision-making, Innovation, Growth |
| الوصف: | Project risk management is pivotal in ensuring the success of endeavours within contemporary organizations. As businesses navigate an intricate and competitive landscape, integrating artificial intelligence (AI) introduces a paradigm shift in how project risks are recognized, evaluated, and addressed. This chapter go through into the multifaceted impact of AI on project risk management, reshaping strategies and enhancing decision-making processes to elevate project outcomes. By leveraging predictive analytics and machine learning, AI uncovers hidden patterns in historical project data, enabling proactive risk anticipation and simulation-based mitigation strategies. AI's cognitive capabilities expedite risk assessment by aggregating diverse data sources, fostering agility in response strategies through real-time communication and collaboration among project teams. Beyond operational facets, AI-driven algorithms continuously adapt to evolving risk landscapes, refining risk management strategies and resource allocation. Ethical considerations arise with the expanding role of AI, emphasizing the importance of transparency and accountability in algorithmic decision-making. This chapter envisions a dynamic convergence of AI and project risk management, fostering a future where innovation harmonizes with human understanding, propelling projects towards excellence, resilience, and growth. |
| نوع الوثيقة: | book part |
| اللغة: | English |
| ردمك: | 978-3-031-51718-1 978-3-031-51721-1 3-031-51718-0 3-031-51721-0 |
| Relation: | urn:ISBN:9783031517181; urn:ISBN:9783031517211 |
| DOI: | 10.1007/978-3-031-51719-8_16 |
| الاتاحة: | https://researchers.mq.edu.au/en/publications/a1014155-a618-44f4-bf6b-1bfb42d1a107 https://doi.org/10.1007/978-3-031-51719-8_16 |
| Rights: | info:eu-repo/semantics/closedAccess |
| رقم الانضمام: | edsbas.8FF3110F |
| قاعدة البيانات: | BASE |
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