Core Insights - Multiple leading companies, including Huawei, China Unicom, and China Telecom, participated in the IDS data space testing certification ceremony in Beijing, highlighting the importance of data space technology development and practice [1] Group 1: Company Initiatives - Huawei and Digital China, as the first batch of companies to receive IDS component certification, emphasized that this certification is a crucial step towards promoting international data circulation standards and accelerating the globalization of the digital economy [1] - Other participating companies expressed their intention to leverage the IDS certification to expedite key technology upgrades and enhance data circulation support capabilities [1] Group 2: Industry Impact - The global data space is rapidly penetrating various industries such as manufacturing, healthcare, and finance, becoming a vital foundation for driving digital transformation across sectors [1] - The National Engineering Center for Next Generation Internet stated its commitment to enhancing the service capabilities of the IDS data space certification laboratory and developing more component and platform environment certification projects [1]

Core Insights - The data space is transitioning from a "technical concept" to an "international consensus" and "industry practice" [1] - Establishing a data circulation system based on trust is essential for unlocking the systemic value of the digital economy [1] - The construction of data spaces aims to create bridges rather than barriers, addressing the trends of fragmentation, involution, and reconstruction in global data circulation [1] Group 1: Standards and Frameworks - The "IEEE P1988 Cross-Border Data Space Architecture Standard" was officially launched, aiming to establish a unified framework and protocol for cross-border data flow [2] - The development of data spaces is characterized as both a technical and trust engineering endeavor, with an emphasis on embedding governance mechanisms and rule systems into the data space [2] Group 2: Testing and Certification - The IDS testing and certification system is highlighted as a crucial trust mechanism for data spaces, facilitating interoperability and ecological collaboration [3] - A rigorous and fair testing certification process is essential for measuring technological maturity and building a trust system [3] Group 3: Ecosystem Development - The next key tasks in data space development are focused on "verifying mechanisms" and "organizing ecosystems" rather than merely proposing concepts [4] - Data spaces are viewed as a new type of public good in the global digital era, requiring open collaboration and mutual trust for robust industry growth [4]

Core Insights - The establishment of the China Automotive Data Cross-Border Working Group aims to address common challenges in global automotive data flow and empower the international expansion of the Chinese automotive industry [1][5] - Liu Dong emphasized that data circulation is crucial for the global digital economy and technological innovation, particularly in enhancing international cooperation, optimizing supply chain management, and improving product intelligence in the automotive sector [2] Group 1: Data Circulation Challenges and Solutions - Liu Dong identified several challenges in data circulation, including institutional conflicts, trust crises, technological gaps, and a lack of standardization, which have resulted in data being trapped in "data islands" [2] - The proposed "IPv6 + Data Space" solution aims to create a logical data private network that facilitates cross-border data management, ensuring data autonomy and transforming automotive data from a resource into an asset [2][3] - The solution incorporates advanced technologies such as SRv6, APN6, and iFIT, and emphasizes dynamic compliance to ensure that outbound data protection levels are not lower than domestic standards [2] Group 2: Future Directions and Ecosystem Development - Liu Dong highlighted the ongoing development of an international standard system for data spaces, with the establishment of the IEEE1988 standard working group to support cross-border data flow in the automotive industry [3] - The future data space is envisioned as an ecosystem that integrates multiple operational platforms, distributed terminals, and specialized data services, underpinned by a high-speed intelligent network based on IPv6 [3][4] - The open data space network is expected to evolve from closed systems to interconnected frameworks, enhancing global collaboration in the automotive industry [4] Group 3: Global Data Ecosystem and Opportunities - The formation of a global data ecosystem that integrates rules, business, and technology is essential for the cross-border development of the Chinese automotive industry [5] - The establishment of the China Automotive Data Cross-Border Working Group signifies a shift from isolated efforts to a systematic approach in addressing data circulation challenges [5] - The global data ecosystem is anticipated to drive collaborative development in the automotive sector, enabling the industry to navigate the complexities of data-driven advancements [5]

Core Insights - The IDC report highlights the current challenges and scenarios in data space construction, predicting rapid growth in the urban data space market by 2025 due to government initiatives for data resource integration and sharing [1][2] Group 1: Data Space Market Analysis - Data space is defined as an operational model focusing on control capabilities, typically constructed by one or more entities based on business needs [1] - The report emphasizes that despite being in an exploratory phase, the urban data space market is expected to expand significantly by 2025 [1] Group 2: Company Initiatives - Inspur Cloud has actively explored various data space constructions, leveraging distributed intelligent cloud technology to create trusted data space products [1][3] - The company provides distributed data infrastructure services that support the entire lifecycle of data collection, calculation, and utilization, addressing security and trust issues among participants [1][2] Group 3: Case Studies - The Jinan Trusted Data Space, developed with the Jinan Big Data Bureau, integrates services like digital identity, privacy computing, and data authorization to enhance data utilization and drive digital transformation [2] - In the electricity sector, Inspur Cloud has built a trusted data space to manage the entire lifecycle of power data, facilitating intelligent operations and improving power supply-demand balance through advanced analytics [2] Group 4: Future Directions - The report suggests that technology providers should focus on privacy computing and gradually create a data industry ecosystem, leveraging large models within data spaces [3] - Inspur Cloud aims to accelerate the application of data elements and promote the widespread implementation of trusted data spaces through innovative models [3]