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Guiyang Global Big Data Exchange collects first environmental data asset

english.guiyang.gov.cn|Updated: 2024-02-23

With the assistance of the Global Big Data Exchange in Guiyang, Guizhou Kanshe Ecological Environment Technology Co's "wastewater plant simulation AI model operation dataset - water supply plant simulation AI model operation dataset" recently became the first case of data asset inclusion in Guizhou.

The company is a high-tech company dedicated to digital environmental protection, modeling, design, energy management, and smart simulation environmental protection model applications.

It provides professional services for environmental data related to scenarios, products, and implementation, with a total of over 1,300 environmental index detection capabilities.

Meanwhile, Beijing Intellectual Wealth Group specializes in building and operating a service system for the financial innovation of intangible assets, collaborating closely with banks, insurance companies, guarantee institutions, investment firms, and data exchanges to offer professional services such as data asset rights registration, data asset inclusion, data asset evaluation, data asset financial innovation, and data asset capitalization operation services to enterprises.

The Global Big Data Exchange, in collaboration with Beijing Intellectual Wealth Group, conducted a series of enterprise investigations to develop a multi-dimensional solution for environmental data.

Experts in legal, technical, security, and industry applications evaluated the company's data resources to confirm the qualifications of transaction entities, legality of data use, and compliance with usage restrictions before listing on the Global Big Data Exchange.

In the future, the exchange will conduct in-depth research on different types of enterprises to formulate data asset inclusion paths tailored to their operational needs. This initiative aims to provide products, services, and comprehensive solutions for enterprises in terms of data compliance entry, data asset financing, data asset inclusion, data asset evaluation, and more.

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