数字政通“政通人和，百业具兴——人和大模型2.0行业智能体发布会”圆满召开

Core Insights - The release of "Renhe Model 2.0" signifies a major leap for the company from pilot applications of AI technology to a comprehensive promotion of "governance productivity" in smart city management [1][6] - The event highlighted the integration of AI agents in various government sectors, showcasing the practical applications of large model technology in urban governance [1][2] Group 1: Product and Technology Development - "Renhe Model 2.0" utilizes a "data-algorithm-application" matrix to transform business operations from "mouse operations" to "natural language interactions," addressing common pain points in government data applications [2][4] - The technology framework supports rapid deployment, allowing for industry model training within 15 days and application launch within 5 days, enhancing operational efficiency [4] Group 2: Industry Applications - The intelligent agents have been implemented in cities like Beijing, Shenzhen, and Chongqing, effectively converting creative potential into tangible governance productivity [3] - Specific applications include efficient regulation of construction waste, a closed-loop supervision model for administrative law enforcement, and proactive safety systems for urban infrastructure [2][3] Group 3: Collaborative Solutions - The company announced four joint solutions with industry leaders like Huawei and Baidu, marking a new phase in smart city ecosystem collaboration [5][6] - These solutions aim to enhance urban governance capabilities, including a comprehensive monitoring system for low-altitude environments and customizable digital government employees [5][6] Group 4: Strategic Implications - The launch of "Renhe Model 2.0" represents a pivotal moment in the company's evolution, integrating extensive industry knowledge with cutting-edge AI technology to drive business model innovation [6] - The core product, the government AI agent, is expected to provide stable subscription revenue, enhancing the company's profitability and market position in the smart city sector [6]