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 urban trusted data space is a government-led data infrastructure that facilitates 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 promoting 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 owners to share data more confidently and willingly [5][6] - **Demand**: With China's data production expected to exceed 40ZB by 2024, the underutilization of data resources in urban governance highlights the need for trusted data spaces to enhance governance efficiency [8] Value Proposition - The urban trusted data space aims to break down data circulation barriers, activate the potential of data elements, and promote the modernization of urban governance. It enhances public service accessibility and refines urban governance through effective data utilization [11] Overall Framework - The urban trusted data space is built around a foundational infrastructure, two major platforms, and aims to empower urban digital transformation by ensuring secure data access and 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 technical service sector, comprehensive and specialized service providers compete, with ICT background cloud service providers like Inspur Cloud 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 efficiency through initiatives like "one network for all services" [27] - **Inclusive Finance**: By integrating government 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 exemplifies a city-level data circulation infrastructure, supporting public and social data flow through a structured framework [33][35] - **Shanghai Trusted Data Space**: This initiative addresses the complexities of data circulation in a mega-city, utilizing blockchain technology to ensure secure and efficient data use [37][39] Technical Trends - AI technologies are becoming pivotal in enhancing data governance efficiency, transitioning from manual to automated and intelligent governance strategies [42] Future Trends - The urban trusted data space is expected to evolve from pilot projects to a collaborative ecosystem, attracting industry and enterprise participation to explore vertical applications [44][45]

Core Viewpoint - Ant Group and Zhejiang University have officially established the "Zhejiang University-Ant Group Big Data Cognitive Computing Joint Research Center," focusing on "AI for Data" to innovate and create automated data intelligence solutions applicable across various industries [1][3]. Group 1: Collaboration Focus - The collaboration will focus on three main dimensions: 1. Combining mathematical modeling with intelligent data infrastructure to develop future-oriented intelligent databases and data service platforms [3]. 2. Building an open and collaborative data ecosystem by integrating Ant Group's application scenarios with Zhejiang University's research resources in fields like medicine and education [3]. 3. Establishing a talent cultivation system that includes expert hiring, project internships, and joint research topics to provide systematic training for students and young researchers [3]. Group 2: Strategic Importance - This partnership aligns with the national "14th Five-Year Plan" aimed at advancing digital China and establishing a robust data element foundation [1]. - The collaboration marks a significant step in addressing key technologies in data intelligence through industry-academia cooperation [1][3]. - Ant Group's Senior Vice President expressed the company's commitment to combining its technical capabilities with Zhejiang University's research strength to enhance data value across various sectors [3].

Core Insights - The urban trusted data space is a government-led data infrastructure that facilitates 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 urban trusted data spaces is encouraged through a series of top-level designs and strategic plans aimed at promoting the compliant and efficient circulation of data [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**: Urban areas face challenges in data resource development and utilization, which the trusted data space aims to address by providing a secure and compliant environment for data circulation [8] Value Proposition - The urban trusted data space aims to break down data circulation barriers, activate the potential of data elements, and promote the modernization of urban governance [11] Overall Framework - The urban trusted data space is built around a foundational infrastructure, two major platforms, and aims to empower urban digital transformation [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 trusted data circulation infrastructure [16] Industry Chain and Ecosystem - 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 technical service sector, comprehensive and specialized service providers compete, with ICT background cloud service providers leading the market [24] Application Scenarios - **Government Services**: The urban trusted data space facilitates inter-departmental data connectivity, enhancing government services and decision-making [27] - **Inclusive Finance**: By integrating government and financial data, the urban trusted data space supports the development of dynamic risk assessment models for inclusive finance [30] Case Studies - **Zhangjiakou Trusted Data Space**: This initiative employs a "one space, four platforms, one system" architecture to support the secure circulation of public and social data [33][35] - **Shanghai Trusted Data Space**: This project leverages blockchain technology to meet the complex data needs of a megacity, facilitating the secure and efficient use of data [37][39] Technical Trends - AI technology is becoming a key driver in enhancing data governance efficiency within urban trusted data spaces, transitioning from manual to automated governance strategies [42] Future Trends - The urban trusted data space is expected to evolve from pilot projects to a collaborative ecosystem, attracting industry and enterprise participation to explore vertical applications [44][45]

Core Viewpoint - The urban trusted data space is a key infrastructure led by the government to promote the development and utilization of urban data resources, serving as a bridge between data supply and application [1][2]. Development Drivers Policy - Since the introduction of the data element market reform in 2019, China has implemented a series of top-level designs and strategic plans to encourage the creation of urban trusted data spaces, with the first batch of 13 pilot cities announced [4][5]. Technology - Privacy computing and blockchain technology are crucial for solving data sharing issues, enabling data owners to share data confidently and willingly [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 of Urban Trusted Data Space - The urban trusted data space aims to address 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, enabling diverse applications such as government services and inclusive finance [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 critical role in data circulation and compliance [21]. Competitive Analysis - In the technology service sector, comprehensive solution providers with ICT backgrounds, such as Inspur Cloud and Huawei Cloud, are leading the market, while specialized firms focus on specific verticals [24]. Application Scenarios Government Services - The urban trusted data space facilitates inter-departmental data sharing, enhancing government efficiency through initiatives like "one network for all services" [27]. Inclusive Finance - By integrating government public data with financial data, the urban trusted data space supports the development of dynamic risk assessment models, promoting inclusive finance [30]. Case Studies Zhangjiakou Trusted Data Space - The Zhangjiakou trusted data space employs a "one space, four platforms, one system" architecture to support secure data circulation and enhance public data value [33][35]. Shanghai Trusted Data Space - Shanghai's trusted data space, leveraging blockchain technology, aims to meet the complex data needs of a mega city, facilitating secure and efficient data utilization [37][39]. Technical Trends - AI technology is becoming a key driver for enhancing data governance efficiency, transitioning from manual governance to automated and intelligent strategies [42]. Future Trends - The urban trusted data space is expected to evolve from pilot projects to a collaborative ecosystem, attracting industry and enterprise participation to explore vertical applications [44][45].

Core Insights - Oracle has integrated AI into its flagship database, enhancing data management and enabling customers to gain insights and productivity across multicloud and on-premises environments [1][2] - The new Oracle Autonomous AI Lakehouse supports the Apache Iceberg open table format, allowing customers to leverage Oracle AI Database for their data lake data [1][5] AI Integration - Oracle AI Database 26ai incorporates AI across the entire data and development stack, including AI Vector Search, AI for Database Management, and AI for Analytics, facilitating sophisticated AI workflows [1][2] - The database's built-in AI capabilities provide customers with flexibility in building and deploying AI applications, supporting various frameworks and protocols [2] Data Protection - Oracle AI Database implements NIST-approved quantum-resistant algorithms for data encryption, enhancing security against future quantum computing threats [3] AI Features - The database includes advanced features such as Unified Hybrid Vector Search, enabling retrieval of various data types, and built-in data privacy protection measures [9] - Oracle AI Database 26ai allows customers to build and manage in-database AI agents using a no-code visual platform, simplifying AI adoption [4] Performance and Scalability - The Autonomous AI Lakehouse delivers Exadata-powered performance and serverless scaling, available on major hyperscalers [5][6] - Oracle Exadata enhances AI performance by offloading vector queries and providing low-latency data access [9] Future Developments - Planned features for Oracle AI Database 26ai include a Private AI Services Container for secure AI model deployment and integration with NVIDIA for accelerated computing [9][10]

Core Viewpoint - The urban trusted data space is a key infrastructure led by the government to promote the development and utilization of urban data resources, serving as a bridge between data supply and application [1][2]. Development Drivers Policy - Since the introduction of the data element market reform in 2019, China has implemented a series of top-level designs and strategic plans to encourage the creation of urban trusted data spaces, with the first batch of 13 pilot cities announced [4][5]. Technology - Privacy computing and blockchain technology are crucial for solving data sharing issues, enabling data owners to share data confidently and willingly [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 of Urban Trusted Data Space - The urban trusted data space aims to address issues such as the lack of trust mechanisms and inefficient data circulation, thereby enhancing urban governance and promoting the modernization of city management [11]. Overall Framework - The urban trusted data space is built around a foundational infrastructure, two major platforms, and capabilities for secure data circulation, enabling diverse applications such as government services and inclusive finance [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 critical role in data circulation and compliance [21]. Competitive Analysis - In the technology service sector, comprehensive solution providers with ICT backgrounds, such as Inspur Cloud and Huawei Cloud, are leading the market, while specialized firms focus on specific verticals [24]. Application Scenarios Government Services - The urban trusted data space facilitates inter-departmental data sharing, enhancing government efficiency through initiatives like "one network for all services" [27]. Inclusive Finance - By integrating government public data with financial data, the urban trusted data space supports the development of dynamic risk assessment models, promoting inclusive finance [30]. Case Studies Zhangjiakou Trusted Data Space - The Zhangjiakou trusted data space 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 - Shanghai's trusted data space, leveraging blockchain technology, aims to meet the complex data needs of a mega city, facilitating secure and efficient data flow [37][39]. Technical Trends - AI technology is becoming a key driver in enhancing data governance efficiency, transitioning from manual governance to automated and intelligent strategies [42]. Future Trends - The urban trusted data space is expected to evolve from pilot projects to a collaborative ecosystem, attracting industry and enterprise participation to explore vertical applications [44][45].