活动现场，中电科大数据研究院、贵阳幼儿师范高等专科学校等5家单位的代表分别分享了可信数据空 间建设、数智画像育人、行业AI应用等典型案例。其中，贵州中汇科技发展有限公司的"AI与业务高效 契合"方案已在贵州省人民检察院落地使用，并入选最高人民检察院首批"10+1"智能化应用试点成果， 未来将向省外及同行业拓展推广。 据悉，此次发布的建设场景以可复制推广的成熟应用为主，开放场景精准聚焦行业痛点提供合作机遇。 下一步，贵阳贵安将持续立足"中国数谷"核心区定位，深化数智赋能，推动更多应用场景落地见效，通 过场景驱动技术与业务深度融合，持续激活数字经济发展新动能，为区域高质量发展筑牢数字根基。 （贵阳日报融媒体记者 潘朝选） （《贵阳贵安发布50个数字应用场景》由贵阳日报为您提供，转载请注明来源，未经书面授权许可，不 得转载或镜像。） 转自：贵州日报 本报讯 12月30日，2025年贵阳贵安数字应用场景发布会在贵安新区举行。作为"中国数谷"核心承载 区，贵阳贵安此次聚焦政用、民用、商用三大领域，集中发布25个示范性建设场景和25个潜力型开放场 景，以场景牵引数据要素赋能，为区域社会治理、生活服务、产业升级"三大转型" ...

Core Viewpoint - The 2025 China International Big Data Industry Expo's "Digital Government" exchange event in Guiyang focuses on sharing experiences in digital government construction and exploring new directions for data-driven governance modernization [1][4]. Group 1: Event Overview - The event is organized by the Expo Executive Committee, with support from the China Information Association and China Unicom [4]. - The event gathered domestic and international guests from government, business, and academia to discuss digital governance [1][4]. Group 2: Key Insights from Officials - Guizhou's Vice Governor Jia Lijun highlighted that the province's digital economy has ranked among the top in the country for nine consecutive years, with a 100% online processing rate for standard government services and a 90% rate for mobile handling of personal matters [4]. - He acknowledged challenges in digital government construction, such as insufficient top-level design and data barriers, and emphasized the need to focus on eight key areas for further development [4]. Group 3: International Perspectives - Thailand's Digital Economy and Society Ministry shared its experience in establishing a National AI Committee and investing in cloud computing and big data platforms, aiming to enhance infrastructure, AI talent development, and governance [4]. Group 4: Principles and Future Directions - The President of the China Information Association, Wang Jinping, stressed the importance of four principles for digital government: overall collaboration, people-centered approach, data-driven decision-making, and security [5]. - He outlined the transition from "interconnectivity" to "digital empowerment" in the upcoming "15th Five-Year Plan" and suggested enhancing top-level design and data governance systems [5]. Group 5: Expert Contributions - Professor Jiang Xiaojun from the Chinese Academy of Social Sciences discussed the need for precise government responses through digitalization while cautioning against public resource waste [5]. - Zhang Lifeng from the National Information Center emphasized the projected market size of data elements to exceed 10 trillion by 2030 and the importance of data security and standardization in the AI era [5]. Group 6: Practical Applications and Innovations - Representatives from various companies shared practical outcomes, including citizen feedback assessment systems and AI-driven data circulation models [6]. - The event also released the "AI CITY" research report, proposing a framework for smart urban governance in the AI era [6]. Group 7: Collaborative Dialogue - The event facilitated cross-sector dialogue among government, enterprises, and academia, providing diverse insights and references for digital government construction and fostering international cooperation in digital governance [6].

Core Viewpoint - The 10th Shanghai Open Data Innovation Application Competition (SODA) has been launched, focusing on data-driven innovation applications and aiming to foster economic development through the integration of data resources [1][2]. Group 1: Event Overview - The SODA competition is a pioneering event in data innovation applications, established in 2015, and has consistently promoted the value of open data [1]. - The competition will serve as a platform for innovative applications and will provide full-chain support for outstanding projects, including policy incentives and promotional opportunities [1][2]. Group 2: Objectives and Evaluation Criteria - The current competition aims to discover innovative, feasible, and practically applicable solutions driven by data elements, with evaluation criteria focusing on advancement, effectiveness, and demonstration [2]. - Projects will be assessed on their data governance, application scenario cultivation, technological and model innovation, as well as their problem-solving capabilities and economic and social benefits [2]. Group 3: Industry Impact and Collaboration - SODA aims to cultivate high-quality data element case studies that can serve as references for Shanghai and the nation, while also matching industry needs with competition outcomes to drive regional development [2]. - The competition will facilitate collaboration between large enterprises and participating teams, promoting a model of industrial cluster development through innovation and project incubation [2]. Group 4: Talent Development - SODA will establish a three-in-one platform that integrates data innovation applications, data element empowerment, and industry-education integration, aiming to align talent cultivation with industry demands [2]. - The initiative will provide practical opportunities and career development pathways for students, fostering collaborative innovation between academia and industry [2].