28th International Congress on project Management "Project Management in the Digital Decade"

The Next Frontier: Exploring The Potential of Ai in Enhancing Project Management Practice
Proceedings of the 28th International Congress on Project Management “Project Management in the Digital Decade”, 16-18 May 2024
Authors
Costanza Mariani
Keynote speaker: Costanza Mariani
Abstract
We are in a period of the highest interest in artificial intelligence, with a lot of investments in this topic. Over its history, AI has had many ups and downs. Generative AI started to gain interest in 2014, and from that time on, a great change in the world of artificial intelligence has started. From 1915, when for the first time the term was conceived, there were many gray or black periods during which nobody cared about AI or was interested in the topic anymore. Somehow, there has been a disillusion regarding AI, which was due mainly to the fact that people were seeking to develop general AI. It is important to understand that general AI is the concept where a machine could perform a task like simulating the behavior of a human in a wide array of tasks. So this caused quite a disillusion, while it was very clear that the development of artificial intelligence is with a narrow purpose because the machine could concentrate just on one specific task and could carry on just one task at a time. It is possible to identify some of the main domains of artificial intelligence. The first one is a cognitive domain, where there are predictive analytics and forecasting models. In these categories, we can encompass machine learning algorithms that allow us to develop a cognitive augmentation of what we know. Moreover, there is a user vision, predictive and prescriptive models, advanced calculation and data analytics, and natural language processes, and everything is generated from language. In the last couple of years, the retention of generative AI has changed to augment the tasks that artificial intelligence is able to perform.
Keywords
AI, Generative AI, Project Management Practice
DOI


Pages: 76-78

Published: May, 2024
How to cite this article

Xegwana, M. S., Herron, A. G., & Nyika, F. (2024). Assessing Factors Influencing Stakeholder Engagement on Construction Projects. European Project Management Journal, 14(1): 3-10. DOI: 10.56889/bahg8598

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