《上海市数字公共服务白皮书》发布

Core Insights - The first "Shanghai Digital Public Service White Paper" has been officially released, providing a foundational framework for digital public services based on Shanghai's practices, which serves as a significant reference for enhancing digital competitiveness in cities nationwide [1] Group 1: Innovation Highlights - The white paper outlines four innovative highlights of Shanghai's digital public services. The first is the pioneering service system architecture, introducing the "1+N+X" framework, which integrates resources such as computing power, data, models, and software through a unified digital public service platform, creating a 15-minute smart service circle for enterprises [2] - The second highlight is the collaborative service carrier pattern, which supports various entities like parks, associations, and research institutions to establish service centers and stations based on their unique advantages. Currently, 18 centers and 13 stations have been established, achieving a new digital service pattern where services are delivered where the demand is [2] - The third highlight is the establishment of a smart service resource library, which significantly reduces costs for enterprises in terms of computing power investment and high-quality data acquisition through city-level service platforms and center stations [2] - The fourth highlight is the branding of digital service officers, providing enterprises with "one-on-one" companion services from local digital service officers, while also enabling regional and cross-departmental coordination through universal digital service officers when complex issues arise [2] Group 2: Role of Data in AI - The Deputy Chief Engineer of the China Academy of Information and Communications Technology emphasized that in the era of artificial intelligence, large models have begun to demonstrate capabilities, but their application in industries heavily relies on data empowerment. Data will play a crucial role in enhancing production efficiency, promoting AI research and application, and optimizing resource allocation [2]