Liu Liehong: Accelerate the construction of a number of key laboratories and innovation platforms in the data field, and vigorously promote breakthroughs in key technologies, equipment, and application innovation in the data domain

According to the National Data Bureau, on February 28, 2026, Liu Liehong, Secretary of the Party Leadership Group and Director of the National Data Bureau, attended the opening ceremony of the “4th Beijing Artificial Intelligence Industry Innovation and Development Conference” in Beijing and delivered a speech.

Liu Liehong pointed out that the development of artificial intelligence technology is advancing rapidly, and there is an increasing demand for industry data sets with “high knowledge density” and multi-modal integration. At the same time, new core research directions such as embodied intelligence are entering a “data-driven” new stage, and high-quality real machine data is gradually becoming a key element in building core competitiveness and seizing the high ground of future AI.

Liu Liehong stated that building high-quality data sets is essential to empower the innovative development of the AI industry. He emphasized the implementation of six major special actions: strengthening foundational capacity and expanding scale, application empowerment, quality improvement and efficiency enhancement, management services, and value realization. He also called for promoting technological innovation in the data field to support industry upgrades driven by AI. Accelerate the construction of key laboratories and other innovation platforms in the data field, and vigorously promote breakthroughs in key technologies, equipment, and application innovation in data. He highlighted the importance of cultivating innovative enterprises in the data sector to foster an AI industry ecosystem. Continuing to promote high-quality development of the data industry, nurturing data-driven enterprises, and forming a number of benchmark companies in the data field. Additionally, he stressed strengthening market consensus on paying for high-quality data and accelerating the release of data element value. Focus on key links such as supply, circulation, pricing, revenue sharing, and application to build a market-oriented, sustainable endogenous driving force.

(Source: Caixin)