Data Processing Predictive Information Extraction for CitiIQ

Blyth集团正在开发CitiIQ，这是一个衡量城市健康和福祉的系统。它使用115个原始数据点来驱动测量算法（已在使用），并使用基于云的仪表板/界面每季度向客户城市提供分数。然而，目前该公司一次为一个城市的单一客户端获取城市数据。该项目与达勒姆学院合作，将开发一个人工智能引擎，使CitiIQ能够自动获取数据点。这将使该公司能够持续获得全球4,000个人口超过10万的城市所需的115个数据点。该引擎将扩大公司的增长和势头，而无需使用人力进行数据采集。成功完成后，该公司将建立一个数据存储库，确定全球数据源，建立自动数据采集和清理程序，所有这些都将用于CitiIQ算法。 这一人工智能工具将显著增加他们的业务规模，帮助Blyth Group为更多城市和客户提供服务，从而显著提高公司收入。

Blyth Group is developing CitiIQ, which is a system that measures the health and wellbeing of a city. It uses 115 raw data points to drive the measurement algorithm (already in use) and the scores are provided quarterly to client cities using a cloud based dashboard/interface. However, currently the company acquires city data for a single client one city at a time. The project with Durham College, will develop an AI empowered engine to enable CitiIQ to automatically acquire the data points. This will enable the company constantly acquire the 115 required data points for the 4,000 cities in the world with a population of 100,000 or more. This engine will expand the growth and momentum of the company, without using human labour for data acquisition. Upon successful completion, the company will have build a data repository, identified global data sources, established automated data acquisition and cleaning routines all of which will be used for the CitiIQ algorithm. This AI tool will significantly increase the scale of their business, will help Blyth Group to serve more cities and clients, and hence will significantly raise the company revenues.