NeuSoft(SH:600718) Sou Hu Cai Jing·2025-12-01 08:45Core Viewpoint - The forum emphasized the importance of data in driving social progress and economic development, with Neusoft positioning itself as a reliable partner in the intelligent world, transitioning from a technology service provider to a value creator for clients [1][6]. Group 1: Neusoft's New Positioning - Neusoft's new positioning as a value creator is reflected in three dimensions: empowering clients to achieve business goals, contributing to social development in areas like healthcare and employment, and driving innovation in the industry through software [1][4]. - The company aims to go beyond providing technical solutions, integrating deeply into client business scenarios to become an indispensable part of their success [1][4]. Group 2: Challenges in Data Value Realization - The main challenges in realizing data value in smart cities are not technical but rather related to the need for more open and interconnected data supply [3][5]. - Current data systems only meet 60% of operational needs for both B-end and C-end scenarios, highlighting the necessity for improved data supply and legal frameworks regarding privacy and data security [3][5]. Group 3: Strategies for Data Value Creation - Neusoft employs a "1+3+N" strategy, which includes creating one data value production space and three city data empowerment platforms to foster numerous data-enabled scenarios and industrial innovations [4][6]. - The company has launched innovative products targeting urban employment and smart healthcare, showcasing its technical capabilities and deep understanding of industry needs [4][6]. Group 4: Future Outlook and Collaboration - The ultimate goal of urban data value realization is to treat data as a production factor that contributes to national economic value and GDP growth, with predictions that some provinces could achieve this within two to three years [4][6]. - Neusoft is committed to continuous innovation and collaboration with local governments, enterprises, and research institutions to drive the development of data value [6].