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]
数据时代新挑战:具身机器人数据难题待解,AI智能体技术成关键?