数据要素制度创新
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别只围观!来台湖,抓住AI驱动下数字经济的下一个黄金十年!
创业邦· 2025-11-19 00:12
Core Insights - Artificial intelligence is becoming a new "engine" for the data industry, highlighting the strategic value of data elements [2] - By the first half of 2025, the user base for generative AI in China is projected to reach 515 million, with a penetration rate of approximately 36.5% [3] - Beijing's Taihu area is emerging as a new highland for the data industry, being the first "data foundation system pilot zone" in the country [5][6] Group 1: Institutional Innovation - Taihu is leading in data element institutional innovation and industrial application, creating a "Taihu sample" for China's data industry [6] - Since being approved as a pilot zone in 2023, Taihu has explored a system for data rights confirmation, evaluation, and circulation, establishing a "2+5+N" credible data infrastructure [6][11] - The first ADD Data Application Scenario Conference was held in Taihu, bringing together experts and enterprises to discuss feasible paths for data element institutional innovation [7][12] Group 2: Economic Development - In 2024, Taihu registered 2,380 new enterprises with a total registered capital exceeding 1.6 billion, significantly improving the business environment [6] - The region has signed contracts with 17 data enterprises and established several key projects, contributing to a new wave of innovation [11] - The integration of the data element market in the Beijing-Tianjin-Hebei region is accelerating, with policies promoting data sharing and collaborative applications [11][13] Group 3: Future Prospects - The second ADD Data Application Scenario Conference will focus on multi-party collaboration in data element institutional innovation and industrial landing [12][17] - The conference aims to create a complete closed loop for regional industry through data institutional innovation, exploring a replicable "Beijing-Tianjin-Hebei model" [13] - The ongoing evolution of artificial intelligence relies heavily on vast amounts of data, positioning data as a critical resource for innovation and industrial restructuring [17][18]