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An Innovative data classification engine utilising AI that can increase the productivity of data scientists by 100%.

An Innovative data classification engine utilising AI that can increase the productivity of data scientists by 100%.
An%20Innovative%20data%20classification%20engine%20utilizing%20AI%20that%20can%20increase%20the%20productivity%20of%20data%20scientists%20by%20100%。
批准号:
82065
负责人:
金额:
$18.25万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

项目摘要

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中文摘要
翻译
NHS内部的分析师目前正在努力处理不同、混乱和不连贯的数据,现状是人工管理。METADATAWORKS是一家快速增长的英国中小企业,专门从事医疗保健信息学,目前正在开发一种人工智能数据分类引擎,将数据科学家的生产率提高一倍。METADATAWORKS将拥有第一个针对来自英国医疗保健数据集的数据进行培训的元数据分类引擎。这除了通过提供改进的数据来加强政策制定之外,还提供了每年50万GB的潜在节省。由亚当·米尔沃德和大卫·米尔沃德创立的METADATAWORKS承诺在五年内产生2000万GB的项目后收入。
英文摘要
Analysts within the NHS currently struggle with disparate, messy and incoherent data and the status quo is manual curation. METADATAWORKS is a rapidly growing UK SME specialising in healthcare informatics, and currently developing an AI data classification engine that doubles the productivity of data scientists. METADATAWORKS will have the first metadata classification engine trained on data from UK healthcare datasets. This offers potential savings of £0.5M per year, in addition to enhancing policy-making by offering improved data. Founded by Adam and David Milward, METADATAWORKS promises to generate a year-five post-project revenue of £20M.
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: