Workflow
DataOps实践指南(3.0)
icon
Search documents
2025DataOps发展大会在京召开 AI数据处理技术研究专项组成立
Zheng Quan Ri Bao Wang· 2025-05-16 09:14
Core Insights - The "DataOps" and "AI-Ready" concepts are gaining traction in various industries, driven by the need for high-quality data management and integration of AI technologies [1][2][3] - The establishment of the AI Data Processing Technology Research Special Group aims to enhance research and development in AI data processing technologies [1][3] Group 1: Industry Trends - The demand for DataOps solutions is increasing as companies recognize the value of data culture and are implementing closed-loop data management systems [2] - The release of the "DataOps Practice Guide (3.0)" highlights the latest industry practices, outlines the development direction of DataOps capabilities, and introduces the AI-Ready DataOps capability framework [2] Group 2: Research and Development - The AI-Ready DataOps capability framework proposed by the China Academy of Information and Communications Technology (CAICT) serves as a guideline for enterprises in building comprehensive data governance capabilities [3] - The conference featured discussions on the integration of DataOps with AI, emphasizing the future trends in AI integration, data engineering, and data security [2]