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Applying Machine Learning to Dynamic Policy-Mapping Problems

Applying Machine Learning to Dynamic Policy-Mapping Problems
将机器学习应用于动态策略映射问题
批准号:
830227
负责人:
金额:
$63.5万
依托单位:
依托单位国家:
英国
项目类别:
Innovation Loans
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

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中文摘要
翻译
Waymark Tech正在为金融服务公司开发其屡获殊荣的下一代Wayfinder服务。作为金融服务领域领先的水平扫描和监管义务管理服务提供商,Waymark正在开发其技术,以便客户公司能够将来自外部水平扫描的传入警报与对其政策文件和库的智能和自动化理解集成在一起,以便将新的变化直接发送给政策和政策所有者,他们对他们最重要。这将帮助用户克服目前需要的困难的手工工作,以确保内部策略保持相关性和最新性。
英文摘要
Waymark Tech is developing the next generation of its award-winning Wayfinder service for financial services firms. Already recognised as the provider of the leading horizon-scanning and regulatory obligation management service in financial services, Waymark is developing its technology so that client firms will be able to integrate the incoming alerts from external horizon scanning with an intelligent and automated understanding of their policy documents and libraries, so that new changes are sent directly to the policies, and policy owners, to whom they are most important. This will help users overcome the difficult manual work that is needed today to make sure that internal policies remain relevant and up to date.
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Understanding structural evolution of galaxies with machine learning
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2022
  • 负责人:
    Nicola Rosario Napolitano
  • 依托单位: