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国联股份:自2023年起,公司重点研究AI
Zheng Quan Ri Bao Wang· 2026-02-05 11:12
Group 1 - The company, Guolian Co., Ltd. (603613), has identified AI as a key focus area starting in 2023, viewing it as a future direction for growth [1] - The company has established a small-scale intelligent computing center in Xinjiang and launched the "Duoduo Smart Worker AI Tool Platform" for internal use [1] - AI and data have not yet made a significant contribution to the company's overall performance [1]
国联股份(603613.SH):公司在AI垂直模型和AI agent工具均有相关应用落地
Ge Long Hui A P P· 2026-02-05 08:29
Core Viewpoint - The company recognizes the importance of AI as a future development direction and is actively embracing it, believing it will significantly change industry operations and business management [1] Group 1: AI Research and Strategy - Since 2023, the company has focused on AI research, identifying key elements such as computing power, algorithms, and data [1] - The company's long-term strategy is centered around data, previously focusing on structured processing to create index products and data reports for guiding business operations, government decisions, and industry functions [1] - The company is currently exploring AI training applications in certain areas to enhance operational efficiency and support client business management [1] Group 2: Computing Power and Infrastructure - The company has completed the construction of some intelligent computing centers in Xinjiang, although the current scale is small and has not yet had a substantial impact on revenue and profit [1] - The company has implemented AI vertical models and AI agent tools, with internal applications such as AI customer service and technical development assistants showing significant effectiveness [1] Group 3: AI Tools and Integration - The company launched the "Duoduo Smart Worker AI Tool Platform," which integrates various AI tools available in the market to assist businesses in quickly selecting and learning to use AI tools [1] - The platform aims to embed AI functionalities into various production processes, including internal management, information technology, supply chain management, energy consumption, quality inspection, and safety, facilitating smoother AI adoption for enterprises [1] - It is important to note that AI and data have not yet made a significant contribution to the company's overall performance [1]