浙江经济和信息化厅答每经问:数据要素为燃料、人工智能为引擎、产业场景为落点 构建“数据—技术—应用”全链条闭环
Mei Ri Jing Ji Xin Wen·2025-10-16 15:50

Core Viewpoint - The National Data Bureau has approved the construction plans for digital economy innovation development pilot zones in seven regions, focusing on 158 reform measures across various sectors, aiming to enhance the synergy between these zones and promote a "1+1>2" effect in development [1][2]. Group 1: Pilot Zone Construction - The pilot zones include Tianjin, Hebei (Xiong'an New Area), Shanghai, Jiangsu, Zhejiang, Guangdong, and Sichuan, with a focus on innovative development in the digital economy [1]. - Zhejiang Province is simultaneously advancing the construction of both the national digital economy innovation development pilot zone and the data element comprehensive pilot zone, aiming for coordinated development [1][2]. Group 2: Mechanism and Task Coordination - A cross-departmental collaborative mechanism has been established to enhance policy integration and resource allocation, ensuring a unified approach to the pilot zone initiatives [2][4]. - The construction of the two zones will leverage data elements as fuel and new-generation information technologies, such as artificial intelligence, as engines to create a closed-loop system of "data-technology-application" [2][3]. Group 3: Data Element Focus - The data element comprehensive pilot zone will concentrate on efficient data supply, convenient data circulation, and valuable data application, aiming to maximize the multiplier effect of data elements [3][4]. - The digital economy innovation development pilot zone will focus on strengthening digital industry clusters, deepening the integration of real and digital economies, and solidifying data infrastructure [3][4]. Group 4: Support for Digital Innovation Enterprises - The National Data Bureau has introduced measures to enhance data resource supply and computing power for digital innovation enterprises, addressing high costs associated with data usage [5][6]. - The measures encourage the establishment of public data authorization mechanisms and collaborative models for cost-sharing and revenue-sharing among digital innovation enterprises [5][6]. Group 5: Computing Power Enhancement - The measures aim to optimize the deployment of computing power resources, ensuring low-cost and reliable services for digital innovation enterprises [6]. - A new infrastructure for computing power will be developed to facilitate efficient matching of computing resources with the needs of digital innovation enterprises [6].

浙江经济和信息化厅答每经问:数据要素为燃料、人工智能为引擎、产业场景为落点 构建“数据—技术—应用”全链条闭环 - Reportify