B[Chengdu: Optimize policies such as computing power coupons, model coupons, and corpus coupons, and implement the "no application required" redemption mechanism] On September 7, the "Implementation Opinions of the General Office of the Chengdu Municipal Committee of the Communist Party of China and the General Office of the Chengdu Municipal People's Government on Optimizing the Science and Technology Innovation Ecosystem" were released. The opinions proposed to deepen the pilot construction of data annotation bases, rely on the national government big data platform to promote the sharing and exchange of high-quality data sets and corpora, and explore data authorization at different levels, fields, and scenarios. Build a Tianfu data center cluster, improve computing power trading standards and product pricing systems, and strengthen the supply of diversified computing power. Support artificial intelligence companies to develop industry vertical models and artificial intelligence-assisted research and development tools for key industrial chains, and improve the coverage of industrial artificial intelligence applications. Optimize policies such as computing power coupons, model coupons, and corpus coupons, and implement a “no need to apply and enjoy” payment mechanism to reduce the cost of acquiring computing resources. B[Liu Liehong investigates the market-oriented allocation reform of data elements in Guizhou Province] September 3rd, during the 2026 China International Big Data Industry Expo, from August 28 to 29, Liu Liehong, Party Secretary and Director of the National Data Administration, led a team to investigate in Guizhou Province. Judging from the survey, the Guizhou Provincial Data System insists on coordinating data development and security, intensifies innovation and exploration, and promotes the market-oriented allocation reform of data elements to achieve significant results. In terms of computing power infrastructure, the company insists on coordinating the construction of intelligent computing centers and computing power dispatching systems. The computing power scale of Guiyang Gui'an has exceeded 176,000 PFlops, and the proportion of intelligent computing exceeds 98%. The foundation for artificial intelligence development has been continuously consolidated. In terms of the development and utilization of public data resources, a medical insurance imaging cloud private network has been built that connects the provincial, municipal, county and township levels, covering 1,633 medical institutions, collecting more than 10 million pieces of imaging data, and realizing cross-hospital retrieval and reuse of imaging reports.
In terms of data fusion applications and scenario construction, the company has launched an enterprise "four-factor" verification product, which has compressed the review cycle for e-commerce settlement and CA processing from seven days to seconds. It has also adopted the cross-provincial collaboration model of "Guizhou exports data and Wenzhou exports scenarios" to accurately serve the personal information of more than 700,000 Guizhou residents in Wenzhou and other places. In terms of the data annotation industry, a data set service platform has been built, with more than 700TB of corpus on the shelves, gathering more than 240 ecological partners, revitalizing the original park resources, and effectively creating local and nearby employment for more than 10,000 people. In terms of data elements empowering the development of artificial intelligence, we will deeply implement the "artificial intelligence +" action, explore the construction of "modulus factories", closely follow the "word elements - new paths to release the value of data elements", use "modulus resonance" to drive the "data flywheel" to accelerate the operation, and innovate new models of "domestic processing and cross-border services". Overall, Guizhou's synergy in computing power, data, applications, and industry has made useful explorations for the country to deepen the reform of market-oriented allocation of data elements. A[Being an “initial teacher” for robots, the data annotation industry is accelerating its development] On August 31, the three-day 2026 China International Big Data Industry Expo concluded in Guiyang, Guizhou. At the Digital Expo, the display of data annotation-related scenarios and service products has become a highlight this year. At the Digital Expo site, relevant companies showed how robots perform data collection and annotation work, attracting many audiences. As an important support for the development of artificial intelligence, the data annotation industry is accelerating its development. In Huishui, Guizhou, lightweight video shooting equipment records working movements in factories and other scenes, serving as "initial teachers" for robots; in Gui'an New District, staff operate dozens of robots, record video data in scenes such as logistics and transportation through multiple sensors, and annotate them. At present, Guizhou regards data collection and data annotation as a new driving force and key industry for the development of the digital economy. It has gathered 135 data collection and annotation companies with more than 16,000 employees. (CCTV Finance) A[National Data Administration: Exploring actual word-unit business models that adapt to the industry] On August 30, Liu Liehong, director of the National Data Administration, stated at the 2026 China International Big Data Industry Expo that it is necessary to study and explore business models such as word-unit value-added subscription and pay-for-performance based on major national economic scenarios. Data labeling is equivalent to labeling original data. The labeled data can be used to train artificial intelligence. The National Data Administration will deploy a new batch of data annotation pilot trials in 32 cities, and go deep into industrial manufacturing, medical health, transportation and other fields to break the bottleneck of the development of the data annotation industry. In terms of digital talent training, multiple departments will strengthen collaboration, promote the establishment and improvement of a talent training mechanism that connects undergraduate, master, and doctoral programs in disciplines related to data elements, and improve the professional layout of disciplines related to data elements. (CCTV News) A[Xia Bing, Deputy Director of the National Data Administration: More than 126,000 high-quality data sets have been built across the country] On August 29, at the "High-Quality Data Sets and Data Annotation Theme Exchange Event" at the 2026 China International Big Data Industry Expo, Xia Bing, member of the National Data Administration Party Group and Deputy Director, said that as of August 2026, more than 126,000 high-quality data sets have been built across the country, with a total volume of more than 1,815PB. (Reporter Guo Songqiao)
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