Core Insights - The National Data Bureau is actively promoting the development of the data labeling industry and high-quality data set construction, with a focus on enhancing the value of data in the artificial intelligence era [2][3] Group 1: Data Labeling and Quality Data Sets - Seven data labeling bases have been established in cities like Hefei and Chengdu, resulting in the creation of 524 data sets, exceeding 29PB in scale, and serving 163 large models as of mid-2023 [2][3] - The National Data Bureau has initiated a series of technical documents and standards, including guidelines for high-quality data construction and evaluation, which will be promoted to national standards in the future [3] Group 2: Industry Development Strategies - The National Data Bureau plans to optimize the industrial planning layout, transitioning from "single-point breakthroughs" to "holistic development" of the data industry [4] - In the second half of the year, the Bureau aims to establish pilot data industry clusters, supporting regions to leverage their resources and industrial foundations to create competitive and demonstrative data industry zones [5]

Core Insights - The National Data Bureau is promoting the construction of high-quality data sets through a structured approach, focusing on general, industry-specific, and specialized categories [1] - The bureau is initiating a special action for ecological cultivation, which includes collecting and promoting exemplary high-quality data sets from sectors like healthcare, industry, and transportation [1] - Seven cities, including Hefei and Chengdu, are being guided to establish data labeling bases as pilot projects, with significant progress reported in data set construction [1] Group 1 - The National Data Bureau's deputy director, Luo Yongying, announced the ongoing efforts to advance high-quality data set standards [1] - The initiative includes three main aspects: promoting exemplary data sets, hosting technical exchange activities, and creating a platform for supply-demand matching [1] - As of mid-2023, the seven data labeling bases have constructed 524 data sets, exceeding 29 petabytes in scale, and are serving 163 large models [1]

Core Viewpoint - The "Urban Trusted Data Space Innovation Development Pilot (Zhengzhou)" project, submitted by Zhengzhou Smart Technology Group, has been selected as one of the national pilot projects for 2025, marking a significant achievement in the province's data element market reform [1][2]. Group 1 - The trusted data space is a key infrastructure for establishing a national data foundation and cultivating a unified national data market, aiming to enable secure and trustworthy data circulation and value co-creation among multiple stakeholders [1][2]. - Zhengzhou Smart Technology Group will focus on building a data service system to support the city's digital transformation and create a national data circulation hub [2][3]. - The pilot project will emphasize the integration of trusted data spaces with key urban sectors such as finance, healthcare, logistics, agriculture, and AI, promoting high-value application scenarios [2][3]. Group 2 - By 2027, the project aims to achieve at least 60% coverage of public data, with total data openness increasing by over 100%, and to attract 200 data service providers and 2,000 data products [3]. - The economic goal includes achieving profitability within five years, driving Zhengzhou's data transaction scale to exceed 10 billion yuan, and reaching a digital economy scale of 800 billion yuan [3]. - The project is expected to create a replicable model that encourages more enterprises in the province to recognize the value of data elements, enhancing Henan's position in the national digital economy landscape [3].

Core Viewpoint - Zhejiang Province is focusing on high-quality economic development through the advancement of new production capabilities, emphasizing the integration of new and traditional industries, and the development of advanced manufacturing clusters [1][4]. Group 1: Economic Performance - In the first half of the year, Zhejiang's emerging industries are progressing towards high-end, new, and intelligent development [1]. - The added value of high-tech manufacturing, core digital economy industries, and equipment manufacturing in the province has maintained double-digit growth, significantly outpacing the overall industrial growth [2][3]. - From January to May, revenue from the digital economy core service industries, technology services, and high-tech services in the province's service sector accelerated compared to the first quarter [2]. Group 2: Research and Development - R&D expenditures for large-scale enterprises in both industrial and service sectors increased by 7.0% year-on-year, outpacing revenue growth by 2.1 percentage points; the ratio of R&D expenses to revenue reached 3.08%, up by 0.06 percentage points year-on-year [3]. Group 3: Intelligent Transformation - The revenue growth of core artificial intelligence industry enterprises in Zhejiang is significantly higher than that of large-scale enterprises, with double-digit growth in computing power services, data services, algorithm models, and smart terminals [3]. - The rapid development of AI technology has led to increased demand for computing-related products, with double-digit growth in the production of industrial robots, semiconductor discrete devices, industrial control computers, new energy vehicles, lithium-ion batteries for vehicles, and integrated circuits [3]. Group 4: Future Development Plans - The Zhejiang Provincial Committee has approved a decision to accelerate the construction of an innovative Zhejiang, aiming for a strong education, technology, and talent system by 2030, along with a modern industrial system [4]. - The province plans to comprehensively promote the upgrading of traditional industries, the growth of emerging industries, and the scientific layout of future industries to create new engines for high-quality development [4].

Group 1 - Hong Kong government positions AI as a key industry, leveraging its status as an international data hub to foster innovation and development in AI and data within the Greater Bay Area [1] - The collaboration between Hong Kong Cyberport, Guangzhou Data Exchange, and China Unicom International aims to promote cross-border data cooperation, focusing on sectors like financial risk control, healthcare, and cross-border trade [2] - The Hong Kong government has signed a memorandum with the National Internet Information Office to facilitate cross-border data flow in the Greater Bay Area, enhancing data security and compliance [2] Group 2 - The Hong Kong government plans to establish a research institute to guide AI innovation and application, aligning with the national "AI+" strategy [3] - An open data platform provides over 5,500 datasets from various government departments and agencies, promoting transparency and innovation in data usage [3] - The Cyberport will launch the largest AI supercomputing center in Hong Kong by the end of 2024, supporting startups from R&D to market promotion [3] Group 3 - The Hong Kong government has allocated HKD 3 billion for a three-year AI funding program, with approximately HKD 300 million already granted to projects in various fields, including large language models and synthetic biology [4] - As of June 2023, over 90% of the computing power from the approved projects has been utilized, indicating strong engagement with the AI supercomputing center [4]

Group 1 - The National Bureau of Statistics announced the first batch of pilot projects for trusted data space innovation development, which includes 63 selected projects [1] - The selected projects consist of 13 cities, 22 industries, and 28 enterprises [1] - Notable companies included in the pilot list are Shanghai Data Group Co., Ltd., Ningbo Digital Industry Group Co., Ltd., China Southern Power Grid Co., Ltd., Guangzhou Data Group Co., Ltd., and China Automotive Data (Tianjin) Co., Ltd. [1]

Group 1 - Zhengzhou has been selected as one of the 13 national pilot cities for the "Innovative Development of Trusted Data Space" project, marking a significant breakthrough in the market-oriented allocation of data elements [2][3] - The pilot project aims to achieve at least 60% coverage of public data and 50% coverage from government, enterprises, and leading industries in Zhengzhou by 2027 [2] - The project is expected to generate profits within five years, driving the data transaction scale in Zhengzhou to exceed 10 billion and the digital economy scale to reach 800 billion [2] Group 2 - Zhengzhou Smart Technology Group has gained national recognition for its technical strength and practical achievements in supporting the construction of "Digital Zhengzhou" [3] - The group will focus on building a data service system that supports the city's digital transformation, with an emphasis on sectors such as finance, healthcare, logistics, agriculture, and AI [3] - The initiative aims to create a prosperous data ecosystem by attracting diverse data service providers and developing high-value application scenarios, contributing to the national construction of trusted data space [3]

Group 1 - The core viewpoint of the news is the IPO plans of two companies, Shiliu Yunyi and DeepGreenX, both of which have updated their prospectuses for public offerings in the first half of the year [1][2][3] Group 2 - Shiliu Yunyi (POM) plans to issue 5 million shares at a price range of $4 to $6 per share, aiming to raise between $20 million and $30 million [1] - As of December 31, 2024, Shiliu Yunyi has signed contracts with 210,000 doctors and has served 700,000 patients, with projected revenue of $46.93 million and a net loss of $5.12 million for 2024 [2] - DeepGreenX (DXG) intends to pursue a direct listing on NASDAQ, having previously applied for a listing on the New York Stock Exchange, and does not require filing with the China Securities Regulatory Commission [2] - DeepGreenX is an AI green energy data service provider, focusing on digital asset operations for sustainable green digital economy value chains, with projected revenue of $24.08 million and a net loss of $2.45 million for 2024 [3]

走进贵阳国际陆港看见，两条铁轨纵贯场站，满载货物抵长的班列犹如钢铁巨龙般俯卧在铁轨上，多台吊车在集装箱矩阵间高效作业。 而在仅一路之隔的贵阳综合保税区围网内，电子设备上实时跳动的通关数据，意味着通过海铁联运抵达的货物，经移动端一键申报，货 物与车辆绑卡即可进入贵阳综合保税区。随后，按照货主意愿，便可安排整箱派送，完成"一对一""门对门"服务。 这是贵阳综合保税区立足"国家物流枢纽+全省内陆开放型经济新高地"双重定位，通过"通道升级、服务创新、产业赋能"三维突破，创新 建立"区港联动"模式的鲜活场景，也是贵阳综合保税区积极融入西部陆海新通道的重要举措。 2022年，依托都拉营铁路物流港，贵阳综合保税区联动海关、铁路、商务等多家单位部门，按照"都拉营铁路物流港+贵阳综保区+海关监 管作业场所"联动发展的思路，打造了全国首个综保型国际陆港。 为了弥补跨境公路物流短板，今年4月，贵阳综合保税区首趟"中老"跨境公路班车成功发车，标志着贵州"中老"国际公路运输通道全面贯 通。作为西部陆海新通道的重要组成部分，相较于传统运输方式，跨境公路运输全程"门到门"服务实现了"省内集拼-国内报关-国外清关- 末端派送"全链条贯通，可 ...

Core Viewpoint - The article emphasizes the importance of leveraging data as a new production factor to drive economic growth and improve efficiency across various industries, highlighting the need for a demand-driven approach to unlock the value of data [1][2][3]. Group 1: Data as a Production Factor - Data is increasingly integrated into various industries, enhancing the efficiency of traditional production factors such as materials, talent, technology, and capital, thereby promoting high-quality economic development [1]. - The application of data in diverse scenarios can lead to the emergence of new business models and economic growth opportunities [1]. Group 2: Industry Development Ecosystem - A robust industry development ecosystem is essential for maximizing data value, which includes nurturing data service providers and encouraging innovative operational models [2]. - The number of data service companies in China has exceeded 1 million over the past decade, playing a crucial role in activating data value [2]. Group 3: Data Security and Compliance - Ensuring data security and compliance is critical, as both corporate and personal data are sensitive and require protection of rights and privacy [3]. - Establishing a trustworthy data circulation environment involves collaboration among leading enterprises and industry associations to create a standardized and compatible data space [3]. Group 4: Market Development and Challenges - The ongoing market-oriented reform of data allocation is expected to enhance the value of data in social governance, industrial upgrading, and improving people's livelihoods [3]. - Addressing issues such as data barriers, low supply quality, and inefficient circulation is necessary to develop a fair and efficient data market [3].