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.

云计算是一种分布式计算方法，将巨大的数据计算和处理程序转化为无数的小程序，通过由多个服务器组成的系统来处理和分析这些小程序以获得结果并返回给用户。本报告探讨了云计算与金融信息处理的交叉点，识别了金融机构在采用云技术时所面临的风险和挑战，并讨论了提高数据处理效率和准确性的智能解决方案的需求，同时解决了安全和隐私问题。基于监管框架，报告提出了减轻金融行业云计算带来的集中风险的政策建议。通过将智能预测和评估技术与云计算模型相结合，本研究旨在为金融数据处理和管理提供有效解决方案，促进该行业向数字化转型。