Group 1 - The core argument presented is that on-chain data is a crucial driver for the development of Web3 and Real World Assets (RWA) [1][3] - Data has evolved from being a mere information carrier to an essential production factor in the decentralized era of Web3.0, emphasizing the importance of data security, authenticity, and traceability [3][5] - The development of Web3.0 is categorized into four stages: conceptual emergence (2008-2014), foundational building, validation, and the current stage of scenario expansion, with a clear goal of reducing technical barriers for widespread application [5][7] Group 2 - On-chain data addresses trust issues in the traditional asset tokenization process, ensuring asset authenticity and reducing cross-chain collaboration costs, thus facilitating efficient circulation of RWAs within a compliance framework [7] - The quality of data directly impacts the accuracy of AI models, and on-chain data analysis can effectively verify the authenticity of AI decisions [7] - The company has developed a one-stop data on-chain system, professional analytical tools, and a conference promotion platform to assist enterprises in transitioning from Web2.0 to Web3.0, supporting the development of RWA projects [7]
链上数据是 Web3 与 RWA 发展的核心驱动力