另据全国数据工作会议日前透露，2025年我国数字经济增加值有望达49万亿元，占GDP比重约35%，数字经济核心产 业增加值占GDP比重预计同比还会增长。我国建成高质量数据集超10万个。 【环球网财经综合报道】日前，工信部等四部门印发《汽车行业数字化转型实施方案》，部署实施包括诊断评估与改 进提升行动、典型场景与人工智能应用示范行动、关键技术攻关与基础能力强化行动等在内的六大行动，涵盖15项重 点任务。 报道还提到，截至2025年6月底，中国已建设了455万个5G基站，且千兆宽带用户数达到2.26亿，数字化基础设施显著 进步，多年的研发投入促使数据行业的技术进步重要，形成了完整的集成电路产业链，国产操作系统迅速壮大，成为 1200多个产品类别的'智能核心'。 报道还认为，中国在下一个五年计划期间，将继续深化数据驱动的经济增长和社会发展，以数据惠及人民。 《巴西商业价值报》此前发文提到，中国在"十四五"时期，数据行业规模扩张迅速，达到5.86万亿元人民币，增长 117%；公司数量超过40万家。 ...

Core Viewpoint - The document outlines the Chinese government's initiative to enhance data element discipline and digital talent development, aiming to leverage data as a new productivity engine for innovation [1][2] Group 1: Data Element Discipline and Talent Development - The initiative emphasizes the importance of cultivating talent in data element disciplines as a critical mission for market-oriented data allocation reform and high-quality AI development [1] - It serves as a foundational element for advancing the planning and construction of a digital China, digital economy, and digital society [1] Group 2: Implementation Strategies - The initiative includes 12 tasks across four main areas: establishing data element disciplines guided by national strategy, promoting vocational education in the data industry driven by industrial development, supporting organized research to enrich academic studies in the data field, and facilitating collaboration among academia, industry, and application scenarios [1] - It aims to create a robust vocational education system in the data industry, involving government coordination, industry guidance, and enterprise participation [2] - The establishment of a national data vocational education teaching guidance committee is encouraged, along with the formation of regional collaborative bodies for data industry education [2]

Core Viewpoint - The National Development and Reform Commission, along with other governmental bodies, has issued opinions aimed at enhancing the construction of data-related academic disciplines and the development of digital talent, which is essential for fostering innovation in the data sector and promoting the integration of education, talent, industry, and innovation chains [1][2]. Group 1: Key Tasks and Strategies - The opinions outline 12 tasks across four main areas: improving data-related academic disciplines, promoting vocational education in the data industry, supporting organized research in the data field, and facilitating collaboration among academia, industry, and application scenarios [1]. - The education sector and data management departments are encouraged to strengthen the construction of data-related academic disciplines, supporting institutions to develop programs in data science, digital economy, and management [1]. - Vocational schools are advised to adjust data-related programs dynamically based on industry needs, including the introduction of courses in data collection, cleaning, labeling, compliance, and operations [1]. Group 2: Industry-Education Integration - The opinions emphasize the establishment of a coordinated system for data industry vocational education, involving government oversight, industry guidance, and enterprise participation, including the formation of a national data vocational education teaching advisory committee [2]. - Localities are encouraged to create data industry education and training ecosystems based on industrial parks, which will integrate talent cultivation, innovation, and the promotion of high-quality data industry development [2]. - Leading enterprises and high-level educational institutions are urged to collaborate in forming cross-regional industry-education integration communities, involving industry organizations, schools, research institutions, and upstream and downstream enterprises [2].

Core Viewpoint - The document outlines the "Opinions on Strengthening the Construction of Data Element Disciplines and Digital Talent Teams," aiming to enhance the development of data-related academic disciplines and the cultivation of digital talent, aligning with national strategic needs and technological advancements [1][2]. Group 1: Key Measures - The document proposes 12 key measures across four main areas to strengthen data disciplines and digital talent development [1]. - First, it emphasizes optimizing academic discipline settings and supporting tiered and categorized construction to enhance core teaching elements [1]. - Second, it focuses on promoting vocational education in the data industry by creating an integrated ecosystem of industry and education, reforming educational practices, and enriching curriculum resources [1]. - Third, it aims to support organized research in the data field by enhancing research organization, accelerating key research directions, and solidifying the scientific data foundation [1]. - Fourth, it encourages collaboration among academia, industry, and application scenarios to build typical application cases, innovate collaborative training models, and create technology innovation platforms [1]. Group 2: Implementation and Coordination - The document mandates the National Data Bureau, in collaboration with relevant ministries, to strengthen the organization and promotion of data discipline and digital talent development, establishing a regular working contact mechanism [2]. - It calls for coordinated efforts from various departments to create a conducive environment for the collaborative training of digital talent, with the National Data Bureau responsible for monitoring implementation effects and summarizing best practices [2]. - Local departments are urged to organize and implement policies effectively based on their specific circumstances to ensure the measures are realized [2].

Core Viewpoint - Data has become the core engine driving economic growth and innovation transformation, with the upcoming Global Data Ecosystem Conference 2025 focusing on opportunities and challenges in a data-driven economy [5]. Group 1: Event Overview - The fifth Global Data Ecosystem Conference will be held in Shanghai from November 25-26, 2025, themed "Connecting Data, Business, and Future - Boundless Multiplication" [5]. - The conference will gather representatives from government, industry, academia, and enterprises to discuss data-driven economic opportunities and challenges through keynote speeches, discussions, exhibitions, and project matchmaking [5]. Group 2: Forum Focus - Huawei, in collaboration with Shanghai Data Group, will host a forum titled "AI + Data Infrastructure: Unlocking the Value of Data Elements," focusing on new policy requirements, insights, solutions, and practices [5]. - The forum aims to promote data infrastructure construction, release the value of data elements, and accelerate the upgrade of traditional industries and the development of the digital economy [5]. Group 3: Agenda Highlights - The forum will feature discussions on topics such as the value transition of public data in Shanghai, the construction of new infrastructure for the new productivity era, and insights into the value of data elements supporting high-quality AI development [8][17]. - Key speakers include senior representatives from Huawei and Shanghai Data Bureau, who will share their insights on the integration of AI and data [8][12][16].