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Artificial Intelligence and Machine Learning to identify missing Non Domestic Rates using satellite imagery and other data sources

Artificial Intelligence and Machine Learning to identify missing Non Domestic Rates using satellite imagery and other data sources
人工智能和机器学习利用卫星图像和其他数据源识别缺失的非国内费率
批准号:
104751
负责人:
金额:
$9.23万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2018
资助国家:
英国
项目状态:
已结题
起止时间:
2018 至 --

项目摘要

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中文摘要
翻译
该项目正在支持UrbanTide通过其USMART平台增加理事会在非国内费率上的收入。他们将使用人工智能和机器学习,通过分析和集成各种开放和封闭的数据源来识别缺失的非国内费率。它将资助其核心USMART平台的开发,为公共部门客户提供更大的功能,允许他们将自己的数据与其他可用的数据源混合,以确定哪些费率应该支付,哪些不应该支付。这将使他们的客户在数据中获得更大的控制和解锁价值,使他们能够使他们的数据智能化。
英文摘要
"The project is supporting UrbanTide to increase Council's revenue generation on Non Domestic Rates via their USMART platform.They will use Artificial Intelligence and Machine Learning to identify missing Non Domestic Rates through the analysis and integration of various open and closed data sources.It will fund development of their core USMART platform to offer greater functionality for public sector clients allowing them to mix their own data with other available data sources to identify rates that should be getting paid and are not.It will give their clients greater control and unlock value in their data enabling them to make their data smart."
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