An innovative PrivacyTech tool for data management utilising machine learning that could reduce consumer data exposure by 30% per year
An innovative PrivacyTech tool for data management utilising machine learning that could reduce consumer data exposure by 30% per year
An%20innovative%20PrivacyTech%20tool%20for%20data%20management%20utilizing%20machine%20learning%20that%20could%20reduce%20consumer%20data%20exposure%20by%2030%%20per%20year
批准号：
10023303
负责人：
金额：
$40.48万
依托单位：
依托单位国家：
英国
项目类别：
Collaborative R&D
财政年份：
2022
资助国家：
英国
项目状态：
已结题
起止时间：
2022 至 --
中文摘要
翻译
Contxt Ltd（Contxt）是一家英国隐私技术中小企业，其核心项目团队包括Mayur Upadhyaya（项目/商业负责人）、Niall Burns（技术负责人/CTO）、Jamie Beckland（产品经理）和Mark Haine（法规负责人）。Contxt正在通过其PrivacyOps数据传输管道解决一个重大的未满足的需求，该管道旨在分析，最小化，转换和编辑消费者数据。它将通过更容易地创建支持隐私的数字应用程序来减少消费者数据泄露的数量。数据泄露导致消费者停止与公司开展业务，因此最终，该项目将有助于恢复消费者的信心和信任。
英文摘要
Contxt Ltd (Contxt) is a UK PrivacyTech SME with a core project team of Mayur Upadhyaya (project/commercial lead), Niall Burns (technical lead/CTO), Jamie Beckland (product manager) and Mark Haine (regulatory lead). Contxt is solving a significant unmet need with its PrivacyOps data transfer pipeline designed to analyse, minimise, transform and redact consumer data. It will reduce the number of consumer data breaches by making it easier to create privacy-enabled digital applications. Data breaches cause consumers to stop doing business with a company, so ultimately, this project will help restore consumer confidence and trust.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文