IMPLEMENTING ADVANCED AI TECHNOLOGIES WITHIN IT PROJECT MANAGEMENT

In the fast-evolving landscape of IT, the use of nontraditional artificial intelligence (AI) tools is transforming project management by improving efficiency and streamlining workflows. This paper examines the implementation of advanced AI technologies, including machine learning (ML), natural language processing (NLP), and predictive analytics, within IT project management. These technologies enable real-time data analysis, automated task prioritization, and effective resource allocation, supporting better decision-making and enhanced risk management. Through the analysis of case studies and current AI adoption practices, this research demonstrates how AI tools are fostering operational efficiency, shortening project timelines, and boosting success rates in IT projects. The findings indicate that strategically integrating AI tools can greatly improve project outcomes, making them vital components for future IT management strategies.

Authors

Publication Details

Journal
Annals of the Academy of Romanian Scientists Series on Economy Law and Sociology
Published
2025-01-01
DOI
https://doi.org/10.56082/annalsarscieco.2025.2.17
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

IMPLEMENTING ADVANCED AI TECHNOLOGIES WITHIN IT PROJECT MANAGEMENT

Aurel Mihail Țîțu, Claudiu Florin Iuonaș, Ioan Dănuț Iuonaș
Annals of the Academy of Romanian Scientists Series on Economy Law and Sociology
Digital Transformation in Industry
article

IMPLEMENTING ADVANCED AI TECHNOLOGIES WITHIN IT PROJECT MANAGEMENT

Aurel Mihail Țîțu, Claudiu Florin Iuonaș, Ioan Dănuț Iuonaș
article en

Abstract

In the fast-evolving landscape of IT, the use of nontraditional artificial intelligence (AI) tools is transforming project management by improving efficiency and streamlining workflows. This paper examines the implementation of advanced AI technologies, including machine learning (ML), natural language processing (NLP), and predictive analytics, within IT project management. These technologies enable real-time data analysis, automated task prioritization, and effective resource allocation, supporting better decision-making and enhanced risk management. Through the analysis of case studies and current AI adoption practices, this research demonstrates how AI tools are fostering operational efficiency, shortening project timelines, and boosting success rates in IT projects. The findings indicate that strategically integrating AI tools can greatly improve project outcomes, making them vital components for future IT management strategies.

Annals of the Academy of Romanian Scientists Series on Economy Law and SociologyVol. 8(2)
Openalex Percentile: Top 68%
Digital Transformation in Industry
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IMPLEMENTING ADVANCED AI TECHNOLOGIES WITHIN IT PROJECT MANAGEMENT — Aurel Mihail Țîțu, Claudiu Florin Iuonaș, et al. · Annals of the Academy of Romanian Scientists Series on Economy Law and Sociology (2025) | TGRS Research Map | TGRS