The intelligent prediction and assessment of financial information risk in the cloud computing model
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909169558224896 |
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| author | Wang, Yufu Zhu, Mingwei Yuan, Jiaqiang Wang, Guanghui Zhou, Hong |
| author_facet | Wang, Yufu Zhu, Mingwei Yuan, Jiaqiang Wang, Guanghui Zhou, Hong |
| contents | Cloud computing (cloud computing) is a kind of distributed computing, referring to the network "cloud" will be a huge data calculation and processing program into countless small programs, and then, through the system composed of multiple servers to process and analyze these small programs to get the results and return to the user. This report explores the intersection of cloud computing and financial information processing, identifying risks and challenges faced by financial institutions in adopting cloud technology. It discusses the need for intelligent solutions to enhance data processing efficiency and accuracy while addressing security and privacy concerns. Drawing on regulatory frameworks, the report proposes policy recommendations to mitigate concentration risks associated with cloud computing in the financial industry. By combining intelligent forecasting and evaluation technologies with cloud computing models, the study aims to provide effective solutions for financial data processing and management, facilitating the industry's transition towards digital transformation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_09322 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The intelligent prediction and assessment of financial information risk in the cloud computing model Wang, Yufu Zhu, Mingwei Yuan, Jiaqiang Wang, Guanghui Zhou, Hong Distributed, Parallel, and Cluster Computing Artificial Intelligence Cloud computing (cloud computing) is a kind of distributed computing, referring to the network "cloud" will be a huge data calculation and processing program into countless small programs, and then, through the system composed of multiple servers to process and analyze these small programs to get the results and return to the user. This report explores the intersection of cloud computing and financial information processing, identifying risks and challenges faced by financial institutions in adopting cloud technology. It discusses the need for intelligent solutions to enhance data processing efficiency and accuracy while addressing security and privacy concerns. Drawing on regulatory frameworks, the report proposes policy recommendations to mitigate concentration risks associated with cloud computing in the financial industry. By combining intelligent forecasting and evaluation technologies with cloud computing models, the study aims to provide effective solutions for financial data processing and management, facilitating the industry's transition towards digital transformation. |
| title | The intelligent prediction and assessment of financial information risk in the cloud computing model |
| topic | Distributed, Parallel, and Cluster Computing Artificial Intelligence |
| url | https://arxiv.org/abs/2404.09322 |