Core Viewpoint - The company, Desheng Technology, is focusing on AI product development in key public service areas such as government affairs, employment, and healthcare [1] Group 1: AI Product Areas - The company's AI products are primarily deployed in government services, employment services, and healthcare [1] - Key products include AI government services that create a smart government service network for social security inquiries, policy interpretation, and business processing [1] - AI employment services aim to establish local employment service stations and a 15-minute employment service circle for precise matching of supply and demand [1] - AI healthcare services utilize "seamless payment" as an entry point to provide targeted health services based on user payment profiles [1] Group 2: Technological Integration - The company is integrating high-quality large models and computing power into its AI product iterations [1] - The goal is to connect B-end services to build a public service ecosystem [1]

Core Viewpoint - The Chinese government is advancing the "AI+" initiative, focusing on enhancing public service efficiency through artificial intelligence in governance, with a significant portion of the population showing interest in AI government services [1][5]. Group 1: Public Interest and Usage - 84.6% of respondents have recently paid attention to AI government services, with online business processing (69.2%) and progress tracking (62.1%) being the most commonly used features [2][5]. - The interest in AI government services is higher in first-tier cities, with 87.5% of respondents from these areas expressing interest [2][7]. Group 2: User Experience and Expectations - Users have experienced varying levels of functionality across different AI government platforms, with eastern coastal cities generally offering more comprehensive services compared to central and western regions [3][4]. - Key expectations from users include 24/7 service availability (61.1%), reduced waiting times (56.3%), and fewer in-person visits (51.6%) [4][5]. Group 3: Improvement Suggestions - 63.0% of respondents suggest enhancing algorithm accuracy to ensure precise and efficient services [5][6]. - Other recommendations include improving data security (56.4%), ensuring accessibility for special groups (60.7%), and establishing a seamless transition to human assistance for complex inquiries [6][5].