Group 1: Data Industry Growth - China's data industry has seen significant growth, with over 400,000 data enterprises and a market size reaching 5.86 trillion yuan, representing a 117% increase compared to the end of the 13th Five-Year Plan [1] - The national data market transaction scale is expected to exceed 160 billion yuan in 2024, with a year-on-year growth of over 30% [1] - The privacy computing platform market in China is projected to reach 980 million yuan in 2024, growing by 10.1% [1] Group 2: Challenges and Developments in Data Infrastructure - Despite the importance of data infrastructure, challenges remain in achieving consensus and addressing issues like interoperability and platform development [3] - The development of embodied intelligence and humanoid robots faces significant challenges due to the need for non-linear public domain data and the lack of generalizable data [3] - Ant Group's Vice President emphasized that AI models currently cannot interact with the real world, highlighting the need for foundational data training and feedback learning for embodied intelligence [3] Group 3: Privacy Computing and Data Trust - Ant Group, in collaboration with various institutions, launched the "Yin Yu: Trusted Data Circulation Technology Community," focusing on privacy protection computing and trusted data spaces [4] - The community aims to provide a one-stop, verifiable, and interconnected data circulation technology foundation through open-source code and standard co-creation [4] - The privacy computing market is entering a new growth cycle driven by large models and the marketization of data elements, shifting from compliance-driven to value creation [4] Group 4: Trusted Data Space - The trusted data space is described as a platform service rather than a single scenario, providing data fusion application services based on technical trust [5] - Ant Group believes that the increasing demand for trusted data will lead to breakthroughs in enterprise data spaces, ensuring compliant use of customer data [5] - The core of the data element track revolves around data value, emphasizing the need for a data circulation network to leverage data's multiplier effect [6]

"开源是人类文明史上第一次把端到端的工程实现细节与世界共享，这种模式极大加速了世界数字化革 命的演进进程，这是传统书本知识、技术专利、课堂教育或其他方式之前从来没有提供过的。"蚂蚁密 算董事长兼隐语社区技术委员会主席韦韬说，2022年7月，蚂蚁面向全球开发者开源隐语可信隐私计算 框架，支持安全多方计算、联邦学习、同态加密、TEE等主流隐私计算技术，致力于技术普惠和行业生 态共建。此次扩容后，"隐语"社区将继续以开源开放的方式，降低数据可信流通技术的应用门槛，落实 技术互联互通与产业标准规范，赋能医疗、金融、城市治理、制造等关键领域，促进数据产业的发展。 来源：北京日报客户端 8月14日，隐语"可信隐私计算开源社区"宣布由"可信隐私计算开源社区"升级，扩容为"隐语·数据可信流 通技术社区"，将逐步覆盖隐私保护计算、可信数据空间、数据元件、数联网、区块链、数场等六大技 术路线并形成多技术路线的融合，未来通过开源代码、共建标准和共创场景，为医疗、金融、城市治 理、制造等多个领域提供一站式、可验证、可互联的数据流通技术底座。 在国家"数据要素×"行动全面提速的背景下，数据可信流通已从顶层设计走向标杆落地，但在产业应用 ...