Application of Intelligent Technologies in Risk Management in the Financial Industry
- DOI
- 10.2991/978-94-6463-770-0_6How to use a DOI?
- Keywords
- FinTech; Intelligent Risk Control Technology; Risk Assessment Models
- Abstract
In the context of rapid globalization and information technology advancements, the deep integration of intelligent technologies in the financial sector has become a driving force for the innovation of risk management systems and business operations. This paper focuses on the application of intelligent risk control (risk tech) technologies in commercial banks’ risk management, aiming to comprehensively analyze the benefits and challenges it brings. The study also explores how scientific and reasonable risk management strategies can promote technological innovation in the financial industry and the dual improvement of policies and technologies. Through detailed analysis, this research reveals that intelligent risk control technologies not only reshape the risk management frameworks of financial institutions but also open new pathways for the innovation and development of financial services. In particular, in data-driven decision-making processes, intelligent risk control technologies enhance business processing efficiency and security through full-chain automation, effectively reducing the probability of risk events and the resulting losses.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yihong Lu PY - 2025 DA - 2025/06/26 TI - Application of Intelligent Technologies in Risk Management in the Financial Industry BT - Proceedings of the 2025 3rd International Conference on Digital Economy and Management Science (CDEMS 2025) PB - Atlantis Press SP - 46 EP - 53 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-770-0_6 DO - 10.2991/978-94-6463-770-0_6 ID - Lu2025 ER -