2025数博会“AI可信数据空间大会”嘉宾观点荟萃

Core Viewpoint - The "AI Trusted Data Space Conference" held in Guiyang emphasizes the importance of high-quality data as a core driver for the digital economy and the collaborative development of "Data+AI" [2][3] Group 1: Industry Trends - The conference highlights the consensus that a trusted data space is the mainstream route for industry development, with high-quality datasets being essential for AI application innovation [2] - AI technologies are evolving rapidly, shifting the focus from computational power to the application of AI in production, making the quality of datasets critical for model effectiveness [3] Group 2: Challenges and Solutions - The industry faces challenges such as data being "invisible, immobile, and unusable," which need to be addressed through innovative technical architectures and collaborative production [3] - The core capabilities for building a trusted data space include comprehensive data visibility, trustworthy data flow, and usability of AI [3] Group 3: Implementation Strategies - The Guizhou Big Data Industry Group aims to build a trusted data space by addressing three main pain points: supply-side reluctance to provide data, demand-side hesitance to use data, and platform sustainability issues [4] - The group is exploring trust mechanisms through infrastructure development, public data integration, security systems, and revenue trust mechanisms, with over 200 enterprises already engaged [5] Group 4: Sector-Specific Applications - The trusted data space is being utilized in various sectors, such as the home textile industry in Nantong, where it has significantly reduced design cycles and costs while improving efficiency and quality [8]