过去一年，阿里·古德西（Ali Ghodsi）几乎是整个硅谷最扫兴的人。 将投中网设为"星标⭐"，第一时间收获最新推送 短短一年，估值直接翻倍。 作者丨蒲凡 来源丨 投中网 他在不同的行业峰会、圆桌论坛上反复强调目前人工智能公司们估值虚高，说那些估值动辄数十亿美 元的明星公司实际上"一无所有"。他坚信"资本市场"是美国"人工智能"产业的最大敌人，因为资本让 独角兽们动辄砸出数百万美元的薪酬，加速耗尽了高校的"科研潜力"。在与高盛首席执行官大卫·所 罗门一对一的对谈时，他毫不掩饰自己的"看衰"，告诉对面的华尔街大鳄"自己太多抗风险的办法"， 只要市场出现回调，自己将不可避免地遭遇损失。 他也从不放嘴炮，是一个行动派。为了躲开人工智能泡沫、在一个理性的环境下定价，阿里·古德西 在2024年年底就宣布暂缓IPO计划，一直到2025年临近年底，也没有重启计划的打算。 更诛心的是，大家在听完一连串抱怨之后发现，他其实是整个硅谷吃到人工智能红利最多的人之一。 作为全球最大的数据供应商，他的Databricks已经连续几年实现了超过50%的业绩增长，在今年9月 的时候已经将年销售额预期上调至40亿美元。 与此同时，近日有媒 ...

Core Insights - The urban trusted data space is a government-led data infrastructure that promotes the development and utilization of urban data resources, serving as a key carrier for trusted data space [1][2] Development Drivers - **Policy**: The establishment of a trusted data space is encouraged through a series of top-level designs and strategic plans aimed at facilitating the compliant and efficient circulation of data. The "Trusted Data Space Development Action Plan (2024-2028)" supports the creation of urban trusted data spaces, with 13 pilot cities already announced [4][5] - **Technology**: Privacy computing and blockchain technology are introduced to address the challenges of trusted data circulation, enabling data sharing while ensuring compliance and security [5][6] - **Demand**: With China's data production expected to exceed 40ZB by 2024, the urban trusted data space is essential for enhancing urban governance efficiency by integrating and utilizing public data resources [8] Value Proposition - The urban trusted data space aims to resolve issues such as the lack of trust mechanisms and inefficient circulation in urban governance, thereby enhancing the efficiency of public data utilization and supporting modern urban governance [11] Overall Framework - The urban trusted data space is built around a foundational infrastructure, two major platforms, and capabilities for secure data circulation, including secure storage, encrypted transmission, and identity management [13] Core Capabilities - The core capabilities of the urban trusted data space include trusted control, resource interaction, and value co-creation, which are essential for establishing a reliable data circulation infrastructure [16] Industry Chain and Players - The urban trusted data space involves five main entities: operators, data providers, data users, data service providers, and regulatory bodies, each playing a crucial role in the ecosystem [21] Competitive Landscape - In the technology service sector, comprehensive and specialized firms compete, with ICT background cloud service providers leading the market due to their integrated capabilities [24] Application Scenarios - **Government Services**: The urban trusted data space facilitates inter-departmental data sharing, enhancing government services and decision-making processes [27] - **Inclusive Finance**: By integrating public and financial data, the urban trusted data space supports the development of dynamic risk assessment models, promoting inclusive financial services [30] Case Studies - **Zhangjiakou Trusted Data Space**: This platform employs a "one space, four platforms, one system" architecture to support secure data circulation and enhance public data utilization [33][35] - **Shanghai Trusted Data Space**: Leveraging blockchain technology, this space addresses the complex data needs of a megacity, facilitating the secure and efficient flow of data across various sectors [37][39] Trends and Future Directions - The integration of AI in data governance is expected to enhance the efficiency of data management, transitioning from manual to automated processes [42] - The urban trusted data space is currently in a pilot phase, with plans for nationwide promotion and the establishment of a cohesive ecosystem across regions [45]

Core Insights - The Wuhu Big Data Company was established in August 2022 to support the national "East Data West Computing" initiative, positioning itself as a key player in the data center cluster in Wuhu, which is one of the top ten in the country and the only one in Central China [2][3] Group 1: Company Mission and Product Development - The company aims to explore new business models and has developed three core products: a comprehensive computing scheduling platform, a smart sharing platform, and a data operation platform [3][4] - The computing scheduling platform is the first in the country to integrate general, intelligent, super, and quantum computing capabilities [3] - The smart sharing platform serves as a benchmark for public resource trading and is the first of its kind in the province [3][6] Group 2: Infrastructure and Ecosystem - The Wuhu data center cluster has attracted major players like Huawei and TikTok, with 15 large and super-large data centers contributing to a well-structured computing resource layout [3][4] - The company has invested 44 million yuan in the computing scheduling platform, initially targeting the Wuhu cluster but later expanding its role to a provincial level [4][5] Group 3: Government Collaboration and Support - The platform assists the Anhui Provincial Science and Technology Department in distributing AI computing subsidies, ensuring that only orders placed through the platform can receive these subsidies [6] - In the first half of the year, 22 million yuan in AI subsidies were distributed, indicating a growing AI industry ecosystem in Anhui [6] Group 4: User Engagement and Market Trends - The computing platform, likened to a "Taobao for computing," has onboarded 58 data centers and offers over 1,100 computing products, showcasing a diverse range of services [7] - There is a noticeable shift in user demand from price sensitivity to a preference for computing resources from the Wuhu cluster, reflecting the growing concentration of computing capabilities [7] Group 5: Data Resource Development and Innovation - The company has been authorized as the public data resource operation agency for Wuhu, with a five-year authorization period, and has established a data operation platform [7][8] - Collaborations with local health institutions and banks have led to the development of financial products that commercialize data value, enhancing the local data ecosystem [7][8]

Core Insights - The article emphasizes the importance of public data development and utilization as a key breakthrough for activating factor value, with Qingdao Data Group positioned as a primary developer of public data [2][3] Group 1: Company Overview - Qingdao Data Group was established in February 2025, evolving from Huatuo Zhiyan Institute, which had two years of experience in public data operations [3] - The company has three core business segments: public data operation, data asset investment, and AI infrastructure development [3] Group 2: Data Operations - The company has integrated social data through a trusted data space and data hosting model, creating nine specialized areas including finance and healthcare, serving over 20 application scenarios for Qingdao municipal departments [4] - Qingdao Data Group has facilitated cross-regional medical services and established a comprehensive data asset management process for administrative units [4] Group 3: Data Services - The company focuses on various scenarios for data value release, including data accounting, equity participation, and financial leverage through securitization and pledging [5] - Qingdao Data Group has attracted over 2,000 companies and 100,000 individuals through its branding initiatives and established a data asset securitization alliance with 26 financial institutions [5] Group 4: Market Impact - Qingdao Data Group has completed data asset registration for 119 non-listed companies, accounting for nearly one-third of the national total [6] - The company has pioneered a standardized approach for data asset registration and valuation, which is now being referenced by over 50 cities [6] Group 5: Internal Collaboration - The company has developed a unique internal collaboration advantage through four platforms, enhancing the efficiency of data development and utilization [7] - Qingdao Data Group is focusing on empowering industries through high-quality data sets for AI applications in marine and health industries [7]

深数所总经理古亮 中经记者 郑瑜 北京报道 12月10日，2025年中国数据要素高质量发展论坛在北京召开。 深圳数据交易所（以下简称"深数所"）总经理古亮表示，深数所的设立源于深圳先行示范区综合改革试 点文件任务，历经三年探索后加挂"深圳市数据要素流通服务中心"牌子，这一身份调整正是对市场需求 的精准响应。 "早期市场普遍认为数据交易所仅覆盖货币对价的数据交易场景，但我们发现合规市场的标准化交易尚 处于探索阶段，数据流通开发利用、资产化资本化服务更是当前广泛需求。"古亮指出，深数所已形 成"交易所+流通服务中心"双角色定位，服务延伸至数据流通全链条，涵盖交易、开放、共享、联合开 发等多元场景。核心目标是通过资源汇聚、产品开发和中立平台搭建，降低市场流通成本，提升数据价 值化。 当前，多个实操案例已经印证了这一逻辑的可行性。在气象领域，深数所联合深城交等合作伙伴实现了 气象数据赋能低空经济，该案例获2025年"数据要素×"大赛全国一等奖，已完成场内首笔交易并进行推 广。在数据资产化和资本化路径探索方面，深数所已联合合作伙伴在数据融资、数据信托、数据ABS等 领域合规闭环。在医疗领域，除推动数据赋能商业保险外，进 ...

Core Viewpoint - The article emphasizes the importance of establishing a payment mechanism for high-quality data as a fundamental requirement for the marketization and valuation of data, which is essential for fostering a robust data market and enhancing the digital economy's growth potential [1][2][4]. Group 1: Importance of Paying for Quality Data - Paying for quality data is essential for recognizing its intrinsic value as a new production factor and is a key measure to overcome current data circulation challenges [1][2]. - The payment mechanism serves as a cost compensation and innovation incentive for data "factorization," ensuring that the value of data is recovered and distributed effectively [2][5]. - The market demand for quality data is rapidly increasing, with over 4,500 data products listed on the Shanghai Data Exchange in 2024, leading to a transaction volume exceeding 4 billion RMB, reflecting a diverse supply and rising value [3][4]. Group 2: Mechanisms and Challenges - The payment mechanism acts as a benchmark for data "valuation," helping to reflect market demand for different types and qualities of data, thus guiding data flow to areas where it can create the most value [4][5]. - There are significant challenges in recognizing the value of quality data, including a lack of stable payment expectations and insufficient capabilities of data circulation service institutions [7][8]. - The establishment of a payment mechanism is crucial for building a fair and efficient data market system, addressing issues like information asymmetry and enhancing transaction efficiency [5][6]. Group 3: Market Awareness and Cultural Shift - Cultivating a market culture that values payment for quality data is necessary for deepening market-oriented reforms and stimulating the internal growth of the digital economy [8][9]. - Government departments are encouraged to take the lead in establishing data transaction-related systems and promoting a consensus on the value of data [8][9]. - Enterprises should recognize the strategic value of paying for quality data as a means to enhance competitiveness and innovation capabilities, viewing it as a critical investment for future growth [9][10]. Group 4: Future Directions - There is a need to accelerate the development of a data factor market and enhance the positive incentives for paying for quality data, which will help eliminate low-quality data and ensure reasonable returns for quality providers [10][11]. - Establishing a unified data quality governance system and developing third-party evaluation and certification mechanisms are essential for improving market trust and reducing risks associated with information asymmetry [10][11]. - Supporting various data transaction models and financial products, such as data asset pledge financing and data insurance, will facilitate the flexible allocation of data across different scenarios [10][11].

专题：2025中国企业竞争力年会 "2025中国企业竞争力年会"于12月9日至10日在北京举行。中经传媒智库特聘研究员、道衍数科（杭 州）联合创始人梁超杰，华科融资租赁有限公司常务副总裁杨星统一股份总经理，统一石化CEO李嘉， 深圳国家高技术产业创新中心大数据平台与信息部部长、中国科学技术情报学会创新情报专业委员会主 任委员卢春江， 景区交易数据要素化文化和旅游部技术创新中心主任、票付通创始人CEO苏万生， 北 京清竞数智科技有限公司CTO王吴越等共同探讨"数据要素市场如何赋能千行百业"。 王吴越强调，数据供给的核心是适配人工智能发展需求，"当前数据热点已从传统数据库转向人工智能 原生数据（AINet），供得出的先决条件是将数据加工为标准化高质量数据集"。他介绍，团队通过参与 国家数据局高质量数据集评测平台建设、与深圳数据交易所合作可信数据空间项目，实现了大模型语料 训练数据的合规交付，而可信数据空间技术则成为加速数据流通的关键工具。在政务数据应用中，其技 术支撑已落地海淀区公共数据智能体评测场景，验证了标准化数据与技术工具的协同价值。 票付通苏万生聚焦文旅场景的公共数据应用痛点，分享了特殊人群优惠购票的数据 ...

专题：2025中国企业竞争力年会 "2025中国企业竞争力年会"于12月9日至10日在北京举行。青岛数据集团首席数据官赵传启介绍，青岛 数据集团前身为华东智研院，此前已积累两年公共数据运营经验。 "2025中国企业竞争力年会"于12月9日至10日在北京举行。青岛数据集团首席数据官赵传启介绍，青岛 数据集团前身为华东智研院，此前已积累两年公共数据运营经验。 他介绍，集团目前形成四大核心业务板块：一是数据运营与数据服务交易，下设公共数据运营中心、数 据资产登记评价中心、大数据交易中心等机构；二是数据产业投资，通过数据产业投资事业部与创投公 司布局相关领域；三是人工智能垂直领域大模型研发；四是数据基础设施建设，由原海信政府事业部划 转组建的 "数据青岛" 公司负责。 通过合规报告、数据产权登记、价值评价报告、成本归集报告四类文件，完成数据资源向资产的转化， 该模式已被全国 50 多个城市借鉴。在资本化探索方面，集团牵头成立全国首家数据资产证券化联盟， 目前 20 亿元规模的数据资产证券化项目已在深圳证券交易所申请，后续拟在上海证券交易所发行；同 时率先开展数据资产入股实践，推动数据作为生产要素参与社会分配，让金融机 ...

青岛数据集团首席数据官 赵传启：青岛数据集团定位于公共数据运营，通过场景和创新对公共数据进 行开发利用，赋能120余家企业完成数据资产入表，10余家企业开展数据资产证券化和数据资产质押， 探索出一条"运营赋能+服务变现"的可持续经营和盈利路径，形成"以公共数据运营撬动数据要素市 场"的发展模式。 0:00 ...

数据确权、入表、定价均应围绕数据产品展开。 近期，国家数据局组织12家央企牵头开展首批国有企业数据资源开发利用试点工作，标志着数据要素市 场化正式从"政策框架搭建"迈入"实体实践破冰"关键阶段。作为国民经济关键领域核心数据持有者、产 业链供应链枢纽，央国企牵头试点不仅关乎自身数据价值释放，更对全行业确立数据治理规范、打通资 产化路径具有全局示范意义。 面对数据要素价值释放中"不敢开放、不愿流通"的核心堵点，以及数据汇聚、价值挖掘等现实难题，证 券时报记者专访了拥有丰富地方大数据治理实践经验的原海南省大数据管理局局长董学耕，深度剖析央 国企试点的独特价值、破局路径与数据要素市场的长远发展方向。 央国企为何成为数据要素市场"先锋队"? 证券时报：数据要素市场化从政策走向实践，央国企作为试点主力，在核心数据禀赋、产业链枢纽地位 上的独特价值是什么?"国家队"引领模式对全国数据资源有序释放有哪些基础作用? 董学耕：在数据要素市场化从政策走向实践的关键转折期，央国企作为试点主力，其独特价值源于我国 经济体制的核心特征，在能源、电力、通信等国民经济关键基础领域，央国企占据主导地位，核心数据 资源也主要由其掌握。因此，由央 ...