Core Insights - The modern data stack is increasingly popular in data-driven enterprises, driven by cloud-native tools that support AI, machine learning, and advanced analytics, promising scalability, modularity, and speed [1] - However, the adoption of this stack has led to increased complexity and fragmentation, creating new "silos" within organizations as teams utilize multiple tools for different data functions [1][5] - The challenges faced by the modern data stack can significantly impact return on investment, as the complexity and operational overhead increase with the integration of various tools [26][28] Group 1: Challenges of the Modern Data Stack - Tool fragmentation is a pressing challenge, leading to a bloated ecosystem where tools lack the necessary interoperability, increasing complexity and diverting focus from solving business pain points [5][7] - Operational complexity arises from the need for dedicated monitoring and expertise for each tool, pushing data teams to their limits and increasing operational overhead [8][28] - Data quality and trust issues stem from inconsistent validation standards and unclear data ownership, leading to a lack of confidence in data quality and reliance on manual processes [9][11] Group 2: Metadata and Ownership Issues - Metadata management is underdeveloped, leading to outdated or fragmented metadata that diminishes the value of data, resulting in wasted resources on "dark data" [12][20] - The lack of clear ownership within the modern data stack creates confusion and weakens accountability, impacting effective data governance and policy enforcement [22] - Compliance, security, and access control gaps are evident, with many organizations unprepared to handle emerging vulnerabilities, leading to risks in data governance [23] Group 3: Future Directions - A "data-first" approach is emerging, focusing on the data lifecycle, accessibility, and value rather than merely unifying data through various technologies [30] - The Data Developer Platform (DDP) is a key element in this transition, enabling teams to efficiently create, manage, and scale data products without needing specific infrastructure knowledge [30][34] - The integration of DDP can lead to significant improvements in operational simplicity and governance, ensuring compliance and trust throughout the data lifecycle [34]

Core Viewpoint - Shanghai is accelerating the establishment of a large-scale trusted data space to enhance data flow, utilization, and security, serving as a key engine to unlock the value of data elements [1][3]. Group 1: Pilot Construction of Trusted Data Space - In July, the National Data Bureau announced the first batch of pilot projects for trusted data spaces, including 63 projects across 13 cities, 22 industries, and 28 enterprises, marking a significant step in exploring new models for large-scale data circulation [3]. - The pilot aims to create resource-rich, innovative, and effective trusted data spaces, forming replicable experiences in data resource development, security, and institutional innovation to support a unified national data market [3][4]. Group 2: Solutions to Application Pain Points - The trusted data space addresses issues such as data supply bottlenecks, concerns over data usage, and trust deficits in data circulation, which hinder efficient data utilization [3][4]. - It employs a multi-dimensional strategy for data supply control, allowing data providers to set precise authorization policies and dynamic usage restrictions, ensuring data sovereignty and preventing misuse [7]. Group 3: Technical Principles Behind Trusted Data Space - The trusted data space utilizes blockchain technology to ensure full traceability and control over data circulation, establishing a reliable environment for data value exchange [7][10]. - It incorporates standardized technical specifications and governance protocols to facilitate trust among diverse participants, essential for efficient data value exchange in complex urban ecosystems [10][11]. Group 4: Industry-Specific Applications - The trusted data space encourages industry leaders to establish their own data spaces, fostering tailored governance mechanisms and cultivating data ecosystems closely linked to industry applications [8]. - It has entered the trial operation phase, with leading enterprises exploring its core value in various business contexts, including financial services and healthcare [14][17]. Group 5: Nationwide Data Infrastructure - Shanghai's trusted data space is designed to be compatible with international standards, facilitating cross-border data circulation and integration with third-party applications [11][13]. - It has already attracted nearly 300 enterprises, aggregating thousands of data resources and developing over 300 data products, with cumulative data calls reaching billions [17].

证券日报网讯 卓创资讯（301299）8月22日在互动平台回答投资者提问时表示，公司作为国内大宗商品 产业数据的专业生产商和服务商，经过多年深耕细作积淀的海量数据（603138）资源、及时客观的交易 价格及专业的驱动因素分析能力，能够为金融客户提供投资决策支持。但目前公司用户仍以大宗商品产 业客户为主。 ...

Core Insights - Databricks is set to become the fifth AI unicorn with a valuation exceeding $100 billion following a new funding round of over $1 billion, raising its valuation from $62 billion to over $100 billion, a growth of over 61% in just eight months [1][3][21] - The funding round has attracted significant interest, with investors including a16z and Thrive Capital, and is expected to accelerate Databricks' AI strategy and global growth [3][21] - Databricks is recognized as a leading data and AI platform, serving over 60% of Fortune 500 companies, and is positioned as a key player in the data infrastructure for the AI era [8][21] Company Overview - Founded in 2013, Databricks provides a unified data and AI platform that helps enterprises manage and analyze large-scale data efficiently, catering to sectors like e-commerce, finance, and healthcare [5][8] - The company is known for its "lakehouse" architecture, which integrates data storage, querying, and analysis, and has introduced visualization tools and generative AI features [7][8] - Databricks has completed 14 funding rounds, with a record $10 billion raised in November last year, making it one of the largest VC rounds in history [7][8] Financial Performance - Databricks' annualized revenue is projected to reach $3.7 billion by July, reflecting a year-on-year growth rate of 50% [21] - The company has raised nearly $20 billion in total funding, making it a highly sought-after investment target in Silicon Valley [19][21] Competitive Landscape - Databricks faces competition from companies like Snowflake and Oracle, but is recognized as a leader in capability among global data platform software providers [21] - The company is expected to continue its growth trajectory, bolstered by the increasing demand for AI data infrastructure [21]

Core Viewpoint - Shanghai is accelerating the implementation of a large-scale trusted data space, which aims to break down barriers in data flow communication and unlock the value of data elements [1] Group 1: Trusted Data Space Initiative - The National Data Bureau announced the first batch of pilot projects for trusted data space innovation, with 63 projects selected, including Shanghai's urban trusted data space [1] - The initiative aims to create a rich resource, innovative applications, a thriving ecosystem, and significant outcomes in data resource development, secure data circulation, co-creation of data value, and innovation in data systems [1][2] - The trusted data space addresses challenges such as data supply issues, concerns over data misuse, and difficulties in data circulation and utilization [1][2] Group 2: Features and Benefits - The Shanghai urban trusted data space is designed as a data circulation infrastructure tailored for the complex ecosystem of mega cities, relying on blockchain technology and common capabilities [2] - It establishes a neutral and inclusive digital public infrastructure that fosters trust among diverse participants, enabling efficient data value exchange [2] - The space is not only beneficial for local enterprises but also integrates into the national data circulation market, allowing local companies to access and utilize data products from across the country [2] Group 3: Current Status and Applications - The Shanghai urban trusted data space is currently in a trial operation phase, with several enterprises exploring its applications and validating its core value in various business contexts [2][3] - Nearly 300 companies have joined the trusted data space, aggregating thousands of data resources and developing over 300 data products, with cumulative data calls reaching hundreds of millions [3]

Group 1 - The 2025 "Data Element ×" competition's Inner Mongolia division award ceremony was held in Hohhot, attended by over 200 representatives from various sectors [1] - The competition, organized by the National Data Bureau and 20 other departments, focuses on the development and application of data elements, featuring both national finals and local divisions [2] - The Inner Mongolia division attracted 329 teams since its launch in June, with 61 teams advancing to the finals after evaluation by 65 experts [2] Group 2 - Three first-prize projects were showcased during the award ceremony, including initiatives aimed at enhancing the dairy industry and smart logistics [2] - The competition's theme, "Data Empowerment Multiplier," aligns with the national "Data Element ×" three-year action plan (2024-2026) and includes 14 specialized tracks [2] - The event marks a significant step for Inner Mongolia in the market-oriented reform of data element allocation, aiming to foster a data element market ecosystem and promote high-quality regional economic development [3]

Group 1 - Shanghai is exploring a unified technical framework and governance protocol to establish a "maximum consensus" among various participants in the data space, addressing issues such as data supply, flow, usage, and security [1] - The Shanghai urban-level trusted data space has accelerated its implementation and became one of the first 63 innovative development pilot projects announced by the National Data Bureau in July [1] - The trusted data space aims to resolve bottlenecks in data value release, including concerns over data misuse, complex supply processes, and inconsistent data quality [1] Group 2 - The trusted data space is currently in trial operation, with nearly 300 participating enterprises and over 300 developed data products, accumulating billions of data calls [2] - Leading companies are exploring deep applications of the trusted data space, utilizing multimodal public data for decision-making during flood risk periods and enhancing services like navigation and delivery [2] - The trusted data space encourages industry leaders or alliances to establish their own operational data spaces across various sectors, including finance, healthcare, and smart manufacturing [2]

Core Viewpoint - Century Hengtong stated on August 20 that it is dynamically adjusting the size of its data labeling business team based on actual business needs while ensuring business delivery capabilities [1] Group 1 - The company is responding to investor inquiries regarding its data labeling business [1] - Adjustments to the team size are based on the company's operational requirements [1] - The company emphasizes that any changes will be disclosed publicly [1]

Core Viewpoint - The company is focusing on the opportunities in the data element industry and has initiated business operations in the data labeling sector, collaborating with several domestic clients [1] Group 1 - The company emphasizes the importance of the data element industry and is actively developing its capabilities in this area [1] - The company has already engaged in specific collaborations with domestic clients in the data labeling field [1] - The company plans to continuously monitor industry trends and steadily advance its business expansion to achieve high-quality development in the data element sector [1]

8月20日，天眼查工商信息显示，近日，中国星网数字科技有限公司发生工商变更，注册资本由1.2亿人 民币增至7亿人民币，增幅约483%。 中国星网数字科技有限公司成立于2023年3月，法定代表人为赵鹏，经营范围包括互联网数据服务、大 数据服务、数据处理和存储支持服务等。股东信息显示，该公司由中国卫星网络集团有限公司、中国星 网网络应用有限公司、河北雄安央企疏解投资基金（有限合伙）共同持股。 ...