| Titre : |
How Artificial Intelligence Assists the Risk Management in Banking Industry |
| Type de document : |
Mémoire |
| Auteurs : |
Lixia HUANG, Auteur |
| Année de publication : |
2022 |
| Importance : |
60 p. |
| Note générale : |
Pour accéder aux fichiers PDF, merci de vous identifier sur le catalogue avec cotre compte Office 365 via le bouton CONNEXION en haut de la page. |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Management
INDUSTRIE ; BANQUE ; INTELLIGENCE ARTIFICIELLE ; RISQUE DE CREDIT ; RISQUE DE MARCHE
|
| Résumé : |
The rapid development and application of mobile internet technologies such as artificial intelligence, big data, cloud computing and blockchain have provided a greater driving force for the mutual integration of technology and finance. At the same time, traditional financial risk management and early warning tools are becoming increasingly passive and lagging in the face of the increasingly complex financial market environment and unprecedented challenges in terms of business management models, new technology application
capabilities and risk prevention systems. To better meet the challenges,this paper first analyzes the research background and practical significance of the subject, and points out the research direction of this paper on the basis of browsing the relevant literature and research results at home and abroad. Then it discusses the theory and application of bank artificial intelligence and risk management, and compares and analyzes the current situation and problems of the application of artificial intelligence in banks in China and abroad. Then select the case of China Merchants Bank for demonstration, and finally give the suggestions on how to use artificial intelligence to help
bank risk management and the prospects for the future. |
| Programme : |
MSc Business Analytics |
| Permalink : |
https://cataloguelibrary.neoma-bs.fr/index.php?lvl=notice_display&id=563769 |
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How Artificial Intelligence Assists the Risk Management in Banking Industry / 2022 
