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
• 金额: $ 9.23万
• 依托单位: URBANTIDE LIMITED
• 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
• 起止时间: 2018 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=104751
• 关键词: Artificial; Intelligence; Machine; Learning; identify

"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."

“该项目支持UrbanTide通过USMART平台增加理事会在非住宅房价方面的收入。他们将使用人工智能和机器学习，通过分析和整合各种开放和封闭的数据源来识别缺失的非住宅房价。它将资助开发其核心USMART平台，为公共部门客户提供更强大的功能，使他们能够将自己的数据与其他数据混合在一起。可用的数据源来识别应该支付和没有支付的费率。这将使他们的客户能够更好地控制和释放数据中的价值，使他们能够使他们的数据智能化。"