World Scientific
Skip main navigation

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×

System Upgrade on Tue, May 28th, 2024 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at customercare@wspc.com for any enquiries.

Research on the Application of Artificial Intelligence on Risk Management of Commercial Banks

    Work partially supported by the Liaoning Social Science Planning Fund Project “Research on the Mechanism and Countermeasures of Financial Support for the Development of General Aviation Industry”, Project No:L22AJY014, the scientific research project of Department of Education of Liaoning Province, “Main Modes and Typical Case Studies of Financial Support for the Development of General Aviation Industry”, Project No:LJKR0097 and Soft Science Research Project of Liaoning Provincial Science and Technology Department “Research on the Influence Mechanism and Path of Scientific and technological Innovation on the International Competitiveness of Liaoning Equipment Manufacturing Industry“, Project No: 2021JH4/10100029

    https://doi.org/10.1142/9789811270277_0101Cited by:0 (Source: Crossref)
    Abstract:

    The acceleration of the digital world calls upon banks and other financial institutions to have a clear understanding, predict and protect themselves against risks brought by uncertainties. Artificial Intelligence is one of the technologies used by banks to forecast activities, which can have a clear insight into trends, and analyze opportunities in real-time so that their businesses are protected and customers are served effectively. This paper takes Kazakhstan as the research object, uses the survey to collect data, and analyzes the positive role of AI in risk control of commercial banks, as well as the existing risks and obstacles.