Please use this identifier to cite or link to this item:
https://irek.ase.md:443/xmlui/handle/123456789/4104
Title: | AI Driven Project Management Tools |
Authors: | Enache, Bianca Elena Georgescu, Mircea Radu |
Keywords: | project management Artificial Intelligence risk management resource allocation team collaboration automation |
Issue Date: | 2025 |
Publisher: | ASEM |
Abstract: | The concept of project management has significantly evolved over time, and it adapted periodically considering the needs on the market and technological advancements. In the latest years, the increased utilization of artificial intelligence (AI) tools has transformed project management by automating processes and improving efficiency. This paper explores the role of the AI tools on project planning, risk management, resource allocation, stakeholder engagement and team collaboration. The study employs a qualitative approach, analyzing existing literature and to assess the AI role in project workflow. Findings suggest that AI driven project management solutions can improve processes, optimize workflows, accelerate tasks completion and enhance collaboration among teams. However, challenges such as data security, ethical concerns and workforce adaptation remain. The paper also discusses options for mitigating these risks in order to maximize the AI’s potential in the field. CZU: 005.8:004.89; JEL: O32 |
Description: | ENACHE, Bianca Elena and Mircea Radu GEORGESCU. AI Driven Project Management Tools. Online. In: Creating the Society of Consciousness, TELE-2025: Hybrid international scientific conference for young researchers, 14th Edition, March 14-15, 2025: conference theses. Chişinău: [S. n.], 2025 (SEP ASEM), pp. 62-64. ISBN 978-9975-168-23-6 (PDF). Disponibil: https://doi.org/10.53486/csc2025.13 |
URI: | https://irek.ase.md:443/xmlui/handle/123456789/4104 |
ISBN: | 978-9975-168-23-6 (PDF) |
Appears in Collections: | 2.Articole |
Files in This Item:
File | Description | Size | Format | |
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ASEM_Creating the Society of Consciousness_TELE – 2025_p62-64.pdf | 249.19 kB | Adobe PDF | View/Open |
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