刘烈宏出席“2025科创大会”并致辞

Core Points - The integration of data elements with artificial intelligence is essential for promoting intelligent innovation [1] - The National Data Bureau emphasizes the importance of data infrastructure, high-quality data sets, and talent development in driving data-driven innovation [1] Group 1: Data Infrastructure - Data infrastructure is a crucial carrier for intelligent innovation, addressing the challenges of "security, compliance, and efficiency" in data circulation [1] - The positive externalities of data elements need to be maximized while mitigating negative externalities [1] Group 2: High-Quality Data Sets - High-quality data sets are identified as key resources for intelligent innovation [1] - The National Data Bureau is focusing on market-oriented reforms for data elements, including policy formulation, supply promotion, standard establishment, technology enhancement, and ecosystem cultivation [1] Group 3: Talent Development - The construction of a talent team is a critical support for intelligent innovation [1] - The National Data Bureau has issued opinions to strengthen the development of data-related disciplines and digital talent training models [1] - A "dual-driven" approach will be implemented to accelerate the establishment of a new ecosystem for independent digital talent cultivation [1] Group 4: Investment and Market Awareness - A call for increased investment in the data sector is made to foster a market awareness of "paying for high-quality data" [1] - The aim is to inject new momentum into the market-oriented reform of data element allocation [1]