AI driven strategic decision-making in IT project management: Enhancing risk assessment, cost control, and efficiency
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2025
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| _version_ | 1866901388389253120 |
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| author | Tanim, Sakhawat Hussain Ahmad, Sabbir |
| author_facet | Tanim, Sakhawat Hussain Ahmad, Sabbir |
| contents | <p>The integration of Artificial Intelligence (AI) in IT project management has redefined strategic decision-making, offering unprecedented improvements in risk assessment, cost control, and overall efficiency. Traditional IT project management frameworks often struggle with dynamic risk factors, cost overruns, and inefficiencies stemming from human errors, outdated methodologies, and resource misallocation. AI-driven decision-making leverages predictive analytics, machine learning, and natural language processing to enhance data-driven insights, automate repetitive tasks, and optimize project performance. From a broad perspective, AI enables IT project managers to shift from reactive to proactive decision-making, significantly mitigating uncertainties through advanced risk assessment models. AI-powered algorithms analyse historical project data, identify emerging risks, and recommend mitigation strategies in real time, thereby reducing project delays and budget deviations. Moreover, AI optimizes cost control by providing intelligent budgeting frameworks, forecasting financial constraints, and ensuring resource allocation aligns with strategic objectives. By automating labor-intensive processes such as documentation, scheduling, and stakeholder communication, AI enhances productivity and efficiency while minimizing operational bottlenecks. Narrowing down, AI-driven decision support systems, such as cognitive computing and reinforcement learning models, further refine project execution by adapting to real-time changes and optimizing resource distribution dynamically. The synergy between AI and IT project management fosters a data-centric culture where real-time analytics, intelligent automation, and continuous learning enhance project success rates. However, challenges such as ethical considerations, data privacy, and AI interpretability must be addressed to maximize its potential. This study explores the transformative role of AI in IT project management, emphasizing its contributions to risk mitigation, cost efficiency, and sustainable project execution. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_16940959 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI driven strategic decision-making in IT project management: Enhancing risk assessment, cost control, and efficiency Tanim, Sakhawat Hussain Ahmad, Sabbir Artificial Intelligence IT Project Management AI-Driven Decision-Making Risk Assessment Cost Control Efficiency <p>The integration of Artificial Intelligence (AI) in IT project management has redefined strategic decision-making, offering unprecedented improvements in risk assessment, cost control, and overall efficiency. Traditional IT project management frameworks often struggle with dynamic risk factors, cost overruns, and inefficiencies stemming from human errors, outdated methodologies, and resource misallocation. AI-driven decision-making leverages predictive analytics, machine learning, and natural language processing to enhance data-driven insights, automate repetitive tasks, and optimize project performance. From a broad perspective, AI enables IT project managers to shift from reactive to proactive decision-making, significantly mitigating uncertainties through advanced risk assessment models. AI-powered algorithms analyse historical project data, identify emerging risks, and recommend mitigation strategies in real time, thereby reducing project delays and budget deviations. Moreover, AI optimizes cost control by providing intelligent budgeting frameworks, forecasting financial constraints, and ensuring resource allocation aligns with strategic objectives. By automating labor-intensive processes such as documentation, scheduling, and stakeholder communication, AI enhances productivity and efficiency while minimizing operational bottlenecks. Narrowing down, AI-driven decision support systems, such as cognitive computing and reinforcement learning models, further refine project execution by adapting to real-time changes and optimizing resource distribution dynamically. The synergy between AI and IT project management fosters a data-centric culture where real-time analytics, intelligent automation, and continuous learning enhance project success rates. However, challenges such as ethical considerations, data privacy, and AI interpretability must be addressed to maximize its potential. This study explores the transformative role of AI in IT project management, emphasizing its contributions to risk mitigation, cost efficiency, and sustainable project execution. </p> |
| title | AI driven strategic decision-making in IT project management: Enhancing risk assessment, cost control, and efficiency |
| topic | Artificial Intelligence IT Project Management AI-Driven Decision-Making Risk Assessment Cost Control Efficiency |
| url | https://doi.org/10.5281/zenodo.16940959 |