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Applications of Artificial Intelligence in Project Management

Khaled Maher Abdalla Mohamed

Applications of Artificial Intelligence in Project Management.

Rel. Alberto De Marco, Filippo Maria Ottaviani. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management), 2021

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Recently, Artificial Intelligence has gained a wide interest to ground itself into business and commercial use. As one of the fields that will be highly impacted by Artificial Intelligence is Project Management due to the unparalleled era of continuous computerized development starting from manufacturing to utilities and transport to financial services. Rationally, Artificial Intelligence is the machine's ability to imitate intelligent human behavior and thus attempts to emulate the potential of human cognition by manipulating symbols and symbolically organized information bases. Artificial Intelligence has found its way in inventing new methods and techniques to allow project managers perform their tasks faster and more efficiently, although the inherent uniqueness of projects could hinder the automation of the complex activities . Methodologically, a literature review on artificial intelligence applications takes place and then evaluates the current use of artificial intelligence in real time projects and companies for more in depth analysis. In addition, how Artificial Intelligence is set to change project management practice, what challenges need to be overcome, and how project managers can prepare themselves to stay up-to-date in a fully integrated, automated, and predictive project management world. The goal of this study is to discuss potential implementations of AI to improve PM activities and how project managers can objectively comment critically on the issues of responsibility in action taking, accountability in decision-making and still the crucial need for human reasoning.

Relators: Alberto De Marco, Filippo Maria Ottaviani
Academic year: 2020/21
Publication type: Electronic
Number of Pages: 40
Corso di laurea: Corso di laurea magistrale in Ingegneria Gestionale (Engineering And Management)
Classe di laurea: New organization > Master science > LM-31 - MANAGEMENT ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/18431
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