Core Insights - The application of AI in the app industry presents new opportunities while imposing new demands for operational growth, making efficient and intelligent data analysis a necessity [1] Group 1: AI Integration and User Interaction - Daily Interaction (个推) leverages its extensive data intelligence to deeply integrate big data with AI models, enhancing user interaction and business insights [1] - The upgraded user operation platform allows users to activate the intelligent inquiry assistant via a floating window or function button, enabling direct input of business questions [1] Group 2: Intent Recognition and Query Accuracy - To improve the accuracy of AI responses in real business environments, the intelligent inquiry assistant incorporates years of industry know-how into its intent recognition [1] - The assistant utilizes an industry knowledge base and enterprise knowledge base for intent disambiguation and semantic standardization, offering multiple intent options to refine data queries [1] Group 3: Empowering Operations and Analysis - The intelligent inquiry assistant adapts to different user roles by providing real-time access to key metrics and interpretations, thereby enhancing decision-making efficiency [1] - Users can save key indicators, quality responses, and specific analysis conclusions to visual dashboards, periodic reports, or monitoring templates within the platform [1] Group 4: Application and Future Developments - The intelligent inquiry assistant, Data Agent, is being gradually implemented in a content-based app with millions of users, helping teams identify high-potential topics and user churn risks [1] - The company plans to continue upgrading its user operation capabilities, embracing more apps for AI application co-creation and capability iteration, supporting dual growth in users and business [1]