Comment l¿adoption de l¿intelligence artificielle affecte-t-elle la productivité et la transformation des entreprises ?
Fouchard, Gaël
Promotor(s) : Gautier, Axel
Date of defense : 2-Sep-2024/7-Sep-2024 • Permalink : http://hdl.handle.net/2268.2/21542
Details
Title : | Comment l¿adoption de l¿intelligence artificielle affecte-t-elle la productivité et la transformation des entreprises ? |
Author : | Fouchard, Gaël |
Date of defense : | 2-Sep-2024/7-Sep-2024 |
Advisor(s) : | Gautier, Axel |
Committee's member(s) : | Bessemans, Pauline |
Language : | French |
Number of pages : | 77 |
Keywords : | [fr] Productivité [fr] intelligence artificielle [fr] transformation |
Discipline(s) : | Business & economic sciences > Finance |
Target public : | Student General public |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master en ingénieur de gestion, à finalité spécialisée en Financial Engineering |
Faculty: | Master thesis of the HEC-Ecole de gestion de l'Université de Liège |
Abstract
[en] This thesis explores the impact of adopting artificial intelligence (AI) on productivity and
business transformation, with a primary focus on the financial sector. The central research question is
to evaluate how financial companies are integrating AI technologies into their operations and what the
tangible effects are on their organizational performance.
Through an in-depth analysis of several company case studies and interviews with industry
professionals, the study reveals that AI provides significant gains in operational efficiency and process
automation. However, the results also show that these benefits are often accompanied by notable
challenges, particularly in change management, technological integration, and high initial costs. While
AI holds the promise of enhancing competitiveness and increasing productivity, the thesis concludes
that companies must still overcome substantial obstacles to fully realize these advantages. In
summary, AI integration is a major driver of transformation, but it requires sustained organizational
adaptation to maximize its benefits.
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