Augmented supervision of the evolution of Information Systems in the digital age
The aim of this research thesis is to work on the supervision of information systems in the Digital Age. The aim is to explore the role and contribution of AI (Artificial Intelligence) in the supervision of IS (Information Systems) evolution, and to actively contribute to the development of innovative IS management methods through the simultaneous development of Deep/Machine Learning tools and AI.
The first step is to establish the state of the art. Firstly, the problem of IS supervision in the digital age will be addressed, followed by a bibliography of the various existing supervision approaches and tools, and the models to be used. Then, the PhD student could conduct an in-depth study of the methodology to be applied in the digital context in order to optimize the use of data with a view to perfecting IS supervision.
Then, the main aim of the thesis will be to exploit this methodology within the framework of design science research, in order to export its models to different research topics, such as mechanisms around learning/predictive models that can establish a diagnosis and formulate recommendations for optimizing IS operation based on supervision.
This doctoral research project is being carried out in partnership with HepTa Advisory Labs. This project is the subject of the CIFRE agreement n°2022/0890 supported by the ANRT for a 3-year period starting in December 2022.
PhD student Aïssa TOUMI is co-supervised by Mouaad HAFSI, Director of Innovation at HepTa Advisory Labs, and Samuel FOSSO WAMBA, teacher-researcher in the Information, Operations and Decision Sciences laboratory at TBS Education.
