商业观察2024,Vol.10Issue(2) :109-112,120.DOI:10.3969/j.issn.2096-0808.2024.02.020

金融应用场景下隐私计算的功能实现路径

The Functional Implementation Path of Privacy Computing in Financial Application Scenarios

温正存
商业观察2024,Vol.10Issue(2) :109-112,120.DOI:10.3969/j.issn.2096-0808.2024.02.020

金融应用场景下隐私计算的功能实现路径

The Functional Implementation Path of Privacy Computing in Financial Application Scenarios

温正存1
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作者信息

  • 1. 中开丝路资本管理有限公司,北京 100031
  • 折叠

摘要

金融机构亟需利用数据资源提高运营效率,开展跨行业、跨机构等多方数据融合,隐私计算的出现为金融机构在保证数据安全的前提下协同发展提供了可能.隐私计算的应用将极大提高银行在风险管理和营销推广方面的效率.隐私计算在金融场景应用中应构建开放金融生态,重视制度创新,为数据应用提供安全环境,提升数据使用质效.平衡数据保护和数据应用,充分释放数据潜能.

Abstract

Financial institutions urgently need to use data resources to improve operational efficiency,carry out cross-industry,cross-institutional and other multi-party data fusion,and the emergence of privacy computing provides the possibility for financial institutions to develop collaboratively under the premise of ensuring data security.The application of privacy computing will greatly improve the efficiency of banks in risk management and marketing promotion.Privacy computing should build an open financial ecosystem in financial scenarios,attach importance to institutional innovation,provide a secure environment for data applications,and improve the quality and efficiency of data use.It should unleash the full potential of data by balancing data protection and data applications.

关键词

隐私计算/金融/数据/生态

Key words

privacy computing/finance/data/ecology

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出版年

2024
商业观察

商业观察

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参考文献量8
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