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
• 金额: $ 63.5万
• 依托单位: WAYMARK TECH LTD
• 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
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=830227
• 关键词: Applying; Machine; Learning; Dynamic; Policy

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.

Waymark Tech正在为金融服务公司开发下一代屡获殊荣的Wayfinder服务。Waymark已经被公认为金融服务领域领先的水平扫描和监管义务管理服务的提供商，它正在开发其技术，以便客户公司能够将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相结合，以便将新的更改直接发送给政策，以及政策所有者，对他们最重要的人来说这将帮助用户克服目前为确保内部政策保持相关性和最新性所需的困难手工工作。