The artificial intelligence in the banking sector: how ai improved the operational efficiency of banks?
Corvo, Beatrice (A.A. 2023/2024) The artificial intelligence in the banking sector: how ai improved the operational efficiency of banks? Tesi di Laurea in Advanced corporate finance, Luiss Guido Carli, relatore Arturo Capasso, pp. 82. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Artificial intelligence. Artificial intelligence: origin and definitions. History of ai. AI types and application areas. AI in banking: trends and challenges. Artificial intelligence for the transformation of the banking sector. Overview of AI in the banking sector. Applications and use cases of AI in banking and financial services. Robotic process automation. Risk management. The impact of AI on banking efficiency. Challenges and risks of implementing AI in banking. The future of AI in the banking sector. Methodology. Research design. Population and sample. Data collection instrument. Data collection procedure. Validity and reliability. Data analysis techniques. Research ethics. Analysis of AI in banking–case applications.
References
Bibliografia e sitografia: pp. 75-82.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Strategic Management (LM-77) |
| Chair: | Advanced corporate finance |
| Thesis Supervisor: | Capasso, Arturo |
| Thesis Co-Supervisor: | Pellegrino, Adalberto |
| Academic Year: | 2023/2024 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 09 Jul 2025 14:55 |
| Last Modified: | 09 Jul 2025 14:55 |
| URI: | https://tesi.luiss.it/id/eprint/42846 |
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