Core Viewpoint - The national data work conference held from December 29 to 30 emphasizes 2026 as the "Year of Data Factor Value Release," focusing on enhancing data flow and resource allocation to better integrate data factors into economic value creation and support social development [1][2]. Group 1: Key Initiatives - High-quality implementation of the Digital China construction plan, emphasizing market-oriented data factor allocation reform and tailored planning [1]. - Accelerating the cultivation of an open, shared, and secure national integrated data market, enhancing top-level design and market governance [1]. - Promoting deep integration of data technology innovation and industrial innovation to foster the development of digital industry clusters [1]. Group 2: Application and Infrastructure - Deepening data fusion applications and scenario construction, driving demand-led initiatives, and enhancing the efficiency of state-owned enterprises through data [1]. - Advancing data infrastructure construction and operation, focusing on large-scale deployment and integrated development of data infrastructure [2]. - Continuously improving data foundational systems, implementing data property rights, and enhancing policy coordination and legal standards [2]. Group 3: AI and International Cooperation - Strengthening data empowerment for artificial intelligence development through various specialized actions aimed at enhancing quality and efficiency [2]. - Coordinating and deepening international cooperation in the data field to support diplomatic efforts and participate in international rule-making [2].

Core Viewpoint - The national data work conference held from December 29 to 30 emphasizes 2026 as the "year of data factor value release," focusing on enhancing data flow and resource allocation to integrate data factors into economic value creation and support social development [1] Group 1: Key Initiatives - High-quality implementation of the digital China construction plan, emphasizing market-oriented data factor allocation reform and tailored planning [1] - Accelerating the cultivation of an open, shared, and secure national integrated data market, enhancing top-level design, and improving market governance [1] - Promoting deep integration of data technology innovation and industrial innovation to foster digital industry clusters [1] Group 2: Application and Infrastructure - Deepening data fusion applications and scenario construction, driving urban digital transformation, and enhancing state-owned enterprise data efficiency [1] - Advancing data infrastructure construction and operation for large-scale deployment and integrated development [1] - Continuously improving data foundational systems, enforcing data property rights, and enhancing policy coordination [1] Group 3: AI and International Cooperation - Strengthening data empowerment for artificial intelligence development through various specialized actions [1] - Coordinating and deepening international cooperation in the data field to support diplomatic efforts and participate in international rule-making [1]

数据是国家基础性战略性资源。推动数据领域高水平科技创新，对于促进数据供得出、流得动、用得 好、保安全，进一步释放数据资源价值意义重大。近日，国家数据局联合有关部门印发《关于加强数据 科技创新的实施意见》（以下简称《意见》），明确提出加强数据科技创新的总体要求、发展目标和重 点任务，为进一步激活数据要素乘数效应，更好赋能数字中国建设打下坚实基础。 数据科技是释放数据要素价值、驱动新质生产力的核心支撑。"十五五"规划建议提出，加快高水平科技 自立自强，引领发展新质生产力。近期，国家数据局发布《关于加强数据科技创新的实施意见》，进一 步为数据科技创新划定了"路线图"与"施工图"，标志着我国数据科技发展进入体系化布局、协同化推进 的新阶段。多位专家将深入解读数据科技前沿趋势、技术突破路径与产业融合实践。 一是有序推进数据科技创新工作。当前，数据科技进入前所未有的密集活跃期，新技术新模式不断涌 现。但从全球看，数据科技的演进路径尚未收敛，整体还处于起步阶段。《意见》立足当前发展阶段， 着眼中长期战略需求，明确了我国数据科技创新的分阶段发展目标。到2027年，建成一批具有引领性和 支撑性的数据科技创新平台，初步建立数据驱 ...

Core Insights - Puda Credit has officially introduced China Mobile Investment Holdings as a strategic shareholder, enhancing its equity structure and integrating China Mobile's data resources into China's credit system [1] Company Overview - Puda Credit was established on December 28, 2020, and is the second market-oriented credit agency in China to hold both personal and corporate credit business licenses, with a registered capital of 1 billion yuan [1] Strategic Partnership - The partnership with China Mobile Investment, founded in 2016 with a registered capital of 20 billion yuan, will broaden data application scenarios and innovate data products, thereby stimulating the vitality of data elements and enhancing their value [1]

12月22日，国家数据局举办"数据价值化我们在行动"系列新闻发布会，介绍公共数据"跑起来"示范场景 建设最新进展和工作成效。 国家数据局党组成员、副局长陈荣辉在发布会上介绍，《中共中央关于制定国民经济和社会发展第十五 个五年规划的建议》明确，深入推进数字中国建设，深化数据资源开发利用。今年11月，国务院办公厅 印发《关于加快场景培育和开放推动新场景大规模应用的实施意见》，对实施新技术新产品新场景大规 模应用示范行动作出系统部署。 陈荣辉在发布会上介绍，为充分释放公共数据价值，国家数据局组织实施公共数据"跑起来"示范场景建 设，此前已经发布三批次共70个示范场景，12月22日当天发布第四批次30个示范场景。 陈荣辉表示，在打造场景样板方面，数据赋能作用已逐步显现。第一批公共数据"跑起来"示范场景经过 一年建设，各项任务已经基本完成。社会效益和产业带动作用初步显现，形成了可复制、可推广的建设 模式。 比如，在民生服务领域，推动医疗保障"一人一画像"、旅游景区入园便利化、社保数据支撑就业服务等 场景建设，为参保精准管理、游客"免证入园"、职业信用评估等应用提供支撑。 在产业发展领域，海关总署依托跨境贸易通关数据，助 ...

Core Viewpoint - The article emphasizes the importance of data as a core production factor in driving high-quality development within the digital economy, highlighting the role of data-driven economic development and market-oriented reforms [1]. Group 1: Event Overview - The fifth Global Data Business Conference was held in Shanghai, focusing on the theme "Connecting Global Business for the Future" and gathering representatives from government, industry, academia, and research to discuss opportunities in data-driven economic development [1]. - Huawei participated in the conference, co-hosting a forum on "AI + Data Infrastructure to Release Data Factor Value," which aimed to create a collaborative innovation platform for government and enterprises [3]. Group 2: Government and Industry Collaboration - Shanghai is leveraging "Blockchain + Privacy-Preserving Computing" and comprehensive computing power layouts to enhance data circulation and utilization, addressing challenges in cross-domain data flow and security [6]. - Huawei's full-stack technology support is crucial for ensuring the security of the entire data lifecycle and optimizing computing power scheduling in Shanghai's digital infrastructure [6]. Group 3: AI and Data Infrastructure - The era of AI is characterized by a data-centric approach, where data serves as the core "fuel" for AI, necessitating the construction of AI-Ready data infrastructure with five core capabilities: data, computing power, storage, models, and circulation [8]. - Huawei aims to enhance investment in AI data infrastructure and collaborate with global partners to unlock the value of data factors, facilitating digital transformation across various industries [8]. Group 4: Local Practices and Innovations - Shanghai Data Group's CTO shared the "Shanghai Plan" for a trusted data space, which focuses on unified infrastructure and capabilities to overcome technical bottlenecks and expand application scenarios [10]. - The collaboration between Shanghai Data Group and Huawei aims to establish a secure foundation for public data authorization and create a compliance system for efficient data circulation [10]. Group 5: Insights on Data Value Release - Huawei's senior expert highlighted the shift from an algorithm-centric to a data-centric model in the AI era, emphasizing the need for AI-Ready data infrastructure with capabilities for multi-modal data processing and integrated platforms [15]. - The construction of a data engineering pipeline is essential for automating the processing of various data modalities, thereby unlocking data value and driving business growth [17]. Group 6: Future Directions - Huawei's proposed "1+1+M+N" technical architecture for urban data infrastructure aims to ensure data supply, facilitate data flow, and meet compliance needs while building a secure and efficient technical support system [19]. - The company plans to continue innovating in AI and data infrastructure technology, enhancing collaboration with government and research institutions to support the release of data factor value and contribute to high-quality digital economic development [19].

Core Viewpoint - The National Bureau of Statistics emphasizes the importance of accelerating the establishment of a comprehensive service system for data circulation and trading, highlighting the role of data exchanges in various aspects of the data market [1] Group 1: Role of Data Exchanges - Data exchanges are a pioneering initiative in China, contributing positively to product service incubation, compliance assurance, standard construction, and ecosystem cultivation [1] - They play a significant role in promoting the integration of data markets with financial markets and expanding international cooperation [1] Group 2: Market Positioning and Service Enhancement - The data exchanges are encouraged to better identify their market positioning in the release of data element value and enhance their comprehensive service capabilities [1] - There is a focus on actively promoting the circulation and trading of public data products and improving the price discovery mechanism for data product services [1] Group 3: Contribution to Data Industry - The initiative aims to make a greater contribution to the prosperity of the data industry ecosystem [1]

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].

Core Insights - The National Data Bureau has released an implementation plan to enhance scenario applications in the construction of national data infrastructure, aiming to shift from "well-built" to "well-used" [1][2] - The plan emphasizes the importance of scenario construction as a key path to cultivate a unified national data market and unlock the value of data elements [1] Group 1 - The plan proposes a strategy of "promoting construction through use and ensuring use through construction," which aims to strengthen the role of scenario applications in driving the development of data infrastructure [1] - It focuses on transforming the potential of data infrastructure into actual effectiveness by ensuring that infrastructure construction resonates with practical needs [1] - The plan aims to support efficient data aggregation, sharing, circulation, and utilization, enhancing the infrastructure's capability to support scenario implementation [1] Group 2 - Key scenario construction directions include intelligent data retrieval, secure and efficient data transmission, large model training and inference, and intelligent collaboration [2] - The plan also supports the establishment of institutional mechanisms for public data registration, processing, authorized operation, circulation pricing, and revenue distribution [2] - The National Data Bureau will establish a cross-departmental coordination mechanism to enhance data supply and security, organize scenario application competitions, and promote the replication of successful experiences [2]

Core Viewpoint - The "Data Element ×" initiative is being actively implemented across various provinces in China, with Guangdong leading the way in integrating data resources to enhance the digital economy and support the real economy's development [1][2]. Group 1: Implementation and Policy Support - Over ten provinces have developed comprehensive or specific work plans for the "Data Element ×" initiative, supported by financial policies [1]. - Guangdong is focusing on the deep integration of real numbers, providing public data, multi-source data, and industry data, along with policies for data security and infrastructure [1][2]. - The province has introduced several policy documents to promote digital economy and public data utilization, accelerating the legislative process for the "Guangdong Data Regulations" [3]. Group 2: Data Resource Development - Guangdong has established the "One Network Sharing" platform, serving 2342 departments with 260,000 data requests, and has opened over 27 billion public data records to society [2]. - The province is developing high-quality data sets in various sectors, including biomedicine and green finance, with several projects recognized by the National Data Bureau [2][3]. Group 3: Ecosystem and Talent Development - Guangdong is enhancing the digital economy ecosystem by promoting effective supply-demand matching and developing data industry clusters [3]. - The province has implemented talent development initiatives, including a professional title evaluation standard for big data engineering and vocational training subsidies, with 1416 individuals obtaining big data professional certificates [3]. Group 4: Data Element Competition - The first "Data Element ×" competition saw over 22,000 teams participating, with more than 900 projects selected for the national finals [4]. - The Guangdong competition showcased increased participation, with a 30% rise in entries compared to the previous year, highlighting regional collaboration within the Guangdong-Hong Kong-Macao Greater Bay Area [5]. - Innovative projects in healthcare and industrial manufacturing demonstrated significant improvements in data processing accuracy and operational efficiency [5][6].