Core Viewpoint - Jiangsu Province's Data Bureau has initiated a collection of practical cases for public data applications, aiming to enhance the quality and efficiency of data resource development and utilization by 2025 [1] Group 1: Practical Cases Overview - Seven scenarios have been selected for the sixth batch of public data application cases, covering various fields such as precise investment promotion, inclusive finance, urban governance, social welfare, and rural revitalization [1] - The cases demonstrate local adaptations and practical applications of public data to empower high-quality industrial development [1] Group 2: Specific Cases - Nanjing: AI-enabled industrial chain map for precise investment promotion by Nanjing Longhu Miaoyu Technology Co., Ltd [2] - Nantong: "Jinbei E Credit" to accelerate financing for small and micro enterprises by Qidong Kexin Industrial Investment Development Co., Ltd [2] - Lianyungang: Urban drainage data empowering smart services for pump stations by Lianyungang Yungeng Agricultural Technology Development Co., Ltd [2] - Huai'an: Data empowerment for food safety in elderly care by Wu County Jinqian Supply and Trade Co., Ltd [2] - Yancheng: Employment assistance through data by Jiangsu Shuzhu Big Data Technology Co., Ltd [2] - Yangzhou: "Data Chain Bridge" to break information gaps in inclusive finance by Jiangsu Siyun Technology Co., Ltd [2] - Suqian: Smart agriculture empowering a new ecosystem by Suqian Zhongwu Shuda Data Technology Co., Ltd [2]

Core Viewpoint - The recent implementation of the "Implementation Opinions" by the National Data Bureau marks a significant step in China's data technology development, establishing a systematic layout and collaborative advancement for data technology innovation, which is essential for unlocking the value of data as a production factor [1] Group 1: Data Technology Innovation - China is the first country to recognize data as a production factor, representing a major theoretical innovation [1] - The "Implementation Opinions" provide comprehensive support for data technology innovation, including theoretical, technical, engineering, and industrial ecosystem aspects [1] Group 2: Evolution of Data Organization - The evolution of data organization has progressed through three paradigms: the first paradigm centered on relational databases, the second on "lake-house" integration, and the current third paradigm focusing on "data space" as a core [2] - The new paradigm allows data to function as active units with inherent dynamics, enabling cross-domain interactions and value collaboration while ensuring data ownership and security [2] Group 3: AI and Data Technology Integration - Breakthroughs in artificial intelligence, particularly deep learning, necessitate high-quality training data, which is crucial for the advancement of AI technologies [3] - The "Implementation Opinions" emphasize the development of high-quality datasets to support AI model training and inference, leveraging China's rich industrial data across various sectors [3][4] Group 4: Pathways for Technological Innovation - The "Implementation Opinions" outline a complete closed-loop from technological innovation to industrial ecosystem prosperity, aiming to enhance China's data technology innovation system [5] - Key strategies include strengthening foundational research in data technology, promoting application-driven innovation, and establishing a robust mechanism for the transfer and commercialization of data technology achievements [6][7]

Group 1 - The Ministry of Commerce of China has expressed concerns over the EU's Carbon Border Adjustment Mechanism (CBAM), highlighting that the EU's default carbon emission intensity values for Chinese products are set too high and do not reflect China's actual levels and future development trends, which could lead to unfair treatment [3] Group 2 - BYD reported a total of 4,602,436 new energy vehicle sales for the year 2025, marking a year-on-year increase of 7.73%, while December sales were 420,398 units, down approximately 18.2% year-on-year [4] - Geely's total vehicle sales for December 2025 reached 236,817 units, a year-on-year increase of about 13%, with annual sales totaling 3,024,567 units, up approximately 39% [4] - New energy vehicle brands like Leap Motor, Xiaomi, and Hongmeng Zhixing achieved record high sales in December, with Leap Motor leading the market with nearly 600,000 units sold [4] Group 3 - The National Data Work Conference emphasized that 2026 will be the "Year of Data Value Release," aiming to enhance data flow and resource allocation channels, thereby integrating data factors into the economic value creation process [5] - Starting January 1, 2026, the implementation regulations for the Value-Added Tax Law will take effect, which is expected to strengthen taxpayer rights and support the smooth implementation of the VAT law [5] - Deutsche Bank forecasts that consumption will continue to be the main engine of China's economic growth in 2026, contributing 2.8 percentage points to GDP [5] Group 4 - The Hainan Free Trade Port has shown a steady increase in passenger and cargo transport volume since its closure, indicating the initial effects of the port's operations [6] - In 2025, the total sales from the "old-for-new" replacement program exceeded 2.6 trillion yuan, benefiting over 360 million people, with significant contributions from the automotive sector [6] - Starting January 1, 2026, Jiangxi Province will implement a new "old-for-new" consumption policy covering various sectors, including automobiles and home appliances [6] Group 5 - By the end of 2025, the total scale of ETFs in China surpassed 6 trillion yuan, with eight ETFs experiencing annual growth rates exceeding 100%, marking a historical high for the number of doubling ETFs [7] - As of now, 15 brokerage firms have released their January stock recommendations, covering 114 A-shares, with Zhongji Xuchuang, Zijin Mining, and China Duty Free being the most popular picks [8] Group 6 - The domestic box office in China reached 51.832 billion yuan in 2025, a year-on-year increase of 21.95%, with domestic films accounting for 79.67% of the total box office [10] - The film "Zootopia 2" has surpassed 4.1 billion yuan in cumulative box office, entering the top 10 in Chinese film history [10] Group 7 - The establishment of "Moutai Digital Technology Co., Ltd." by Kweichow Moutai aims to enhance its digital business, with the iMoutai app becoming part of this new entity [11] - Kweichow Moutai's product sales on the iMoutai platform sold out on January 1, 2026, indicating strong consumer demand [11] Group 8 - The Indian government has introduced a new tax on cigarettes, which is expected to increase the smoking costs for approximately 100 million smokers in the country [15]

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]

Core Viewpoint - The article emphasizes the strategic importance of data technology innovation in driving new productive forces and enhancing national competitiveness, as outlined in the recent implementation opinions by the National Data Bureau. Group 1: Strategic Significance of Data Technology Innovation - Strengthening data technology innovation is crucial for building new international competitive advantages, as major economies are focusing on data-related technologies to maintain technological sovereignty and competitive edge [2] - Data technology is seen as a transformative force that shifts economic growth from resource dependency to innovation-driven models, enhancing efficiency and promoting smart, efficient, and green industry upgrades [3] - Data technology innovation is pivotal in seizing the high ground in technological development, fostering interdisciplinary research, and providing essential support for a modern scientific and technological system with Chinese characteristics [3] Group 2: Direction and Path of Data Technology Innovation - The implementation opinions outline a systematic approach to data technology innovation, focusing on market-oriented data allocation and supporting high-quality development of digital China, economy, and society [4] - The goals include establishing leading data technology innovation platforms by 2027 and achieving international leadership in key technologies by 2030, with a comprehensive enhancement of the role of data elements in economic and social development [4] - Emphasis is placed on cultivating original innovation capabilities in data technology to address issues such as low supply quality and insufficient application potential [5] Group 3: Integration of Technology and Industry - Data technology innovation must align with the construction of a modern industrial system, as the current conversion rate of technological achievements in the data field is insufficient [6] - The implementation opinions advocate for the creation of innovation platforms and laboratories to foster a robust data technology innovation ecosystem and support the growth of leading technology enterprises [6] Group 4: Support and Guarantee for Technological Innovation - Data technology innovation requires a long-term, systematic approach, necessitating coordination of funding, talent, standards, and infrastructure [7] - The implementation opinions call for the acceleration of a nationwide integrated computing power network and the cultivation of a diverse and innovative data technology talent pool [7] - Financial institutions are encouraged to support data technology innovation, enhancing the investment landscape for long-term and quality capital in the sector [7]

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]