Core Viewpoint - The article discusses the transformation of brokerage apps driven by artificial intelligence, highlighting the shift from traditional tools to intelligent, personalized investment partners [2][11]. Group 1: AI Transformation in Brokerage Apps - The securities industry is transitioning from "tool empowerment" to "intelligent reconstruction" as financial technology enters the era of large models [2]. - Guangfa Securities has upgraded its core trading platform, "Yitaojin APP," to become an AI-native intelligent investment partner, marking a new phase in brokerage app development [2][4]. Group 2: Addressing Challenges with AI - Common issues in brokerage apps include bloated functionality, information overload, complex interactions, and lack of personalization, which necessitate smarter solutions [3]. - Guangfa Securities emphasizes that AI should be the business core rather than a simple add-on, leading to the development of the "Tianji Zhirong" model to serve as the core technology engine for the Yitaojin APP [3][10]. Group 3: Core Leap in Intelligent Services - The upgraded Yitaojin APP fundamentally changes service logic by allowing AI to understand user intent rather than requiring users to adapt to functionalities [4]. - The app features over ten AI modules covering the entire investment journey, including iAssistant, iMarket Monitoring, iTrading, iReview, iNews, iAdvisory, iSmart Investment, and iAccount [4][5]. Group 4: Full-Scene AI Empowerment - AI capabilities are deeply integrated into high-traffic scenarios such as market monitoring, trading, news, and account management, enhancing user experience [5][6]. - The app provides personalized suggestions and optimizations based on historical data and market conditions, significantly improving information retrieval efficiency [5][6]. Group 5: Conversational Revolution - The upgrade breaks traditional Q&A service limitations, focusing on a conversational approach where AI can proactively understand investor intent [8]. - The new investment assistant, "iAssistant - Yitaojin Plus," offers 24/7 conversational support for various investment scenarios, enhancing user engagement and decision-making [8][9]. Group 6: Human-Machine Collaboration - Guangfa Securities promotes a "human-machine collaboration" model where AI acts as a supercomputing engine while human experts focus on decision-making [10]. - The "iAdvisory" module leverages AI to enhance advisory services, creating a comprehensive advisory system that combines intelligent tools with professional insights [10]. Group 7: Future Outlook - The comprehensive upgrade of the trading platform aims to evolve investment services from "cold tools" to "digital partners" that understand finance and market dynamics [11]. - Guangfa Securities plans to continue leveraging the "Tianji Zhirong" model to lead the transformation of intelligent services in the brokerage industry, enhancing digital development levels [11].

Core Insights - Guangfa Securities has completed a comprehensive AI-native upgrade of its "Yitaojin App," transforming it from a comprehensive trading service tool to an all-weather intelligent investment partner, initiating a new paradigm of intelligent services characterized by "personalized experiences" [1][2] Group 1: AI Model and Technology - The upgrade is based on the "Tianji Zhirong" model, which integrates Guangfa Securities' extensive practical data and professional research capabilities, utilizing RAG and Agent orchestration technologies to create a controllable, reliable, and optimizable localized intelligent hub [1][2] - The new "Yitaojin App" leverages the "Tianji Zhirong" model for core design and restructuring, enhancing both the underlying architecture of securities trading and investment services as well as user experience [2][3] Group 2: User Interaction and Experience - The app's service logic is revolutionary, focusing on enabling AI to understand user intent rather than requiring users to adapt to functionalities, thus reshaping the interaction between users and financial data, market analysis, and trading decisions [2] - The introduction of the AI assistant "i Assistant - Yixiao Tao Plus" allows users to engage in a conversational manner for information retrieval and investment operations, significantly improving the efficiency of information acquisition [2] Group 3: Intelligent Advisory Services - The new app embodies a "human-machine collaboration" philosophy, creating an "intelligent advisory" model that enhances service depth and professionalism through bi-directional empowerment [3] - The "i Advisory" module utilizes deep model technology to create an intelligent "advisory cockpit," providing a comprehensive smart advisory service system that covers news interpretation, market analysis, and investment trading [3]

Core Insights - The forum "Breaking Circles and Integration" focused on the profound impact of artificial intelligence (AI) on industry transformation and the global economic landscape [1] - The discussion highlighted the strategic importance of AI in enhancing enterprise competitiveness, growth, and future readiness [1] Group 1: AI Transformation in Finance - AI large models are leading a new technological revolution, providing "technological equality" that reduces information asymmetry between supply and demand in the financial sector [2] - The implementation of nearly 50 AI large model application scenarios at GF Securities includes customer service, research report analysis, and code writing [2] - The "Tianji Zhirong" platform integrates various AI assistants into a single entry point, enhancing employee convenience and providing real-time business support [2] Group 2: Changes in Team Dynamics - The adoption of AI is significantly changing team work modes, allowing members to focus more on innovative thinking rather than basic tasks [3] - The core competencies of securities firms, such as trading and investment research capabilities, are being enhanced through intelligent applications of AI [3] Group 3: Talent Team Reconstruction - GF Securities is restructuring its talent teams to adapt to the AI era by forming cross-departmental large model working groups for collaborative exploration of new AI applications [4] - The company is enhancing AI literacy across all employees through systematic training to maximize the effectiveness of AI large models [4] - There is a focus on building a diverse and composite talent structure, emphasizing the need for professionals with both AI technical backgrounds and financial expertise [4]

Core Insights - The forum on "Breaking Circles and Integration" highlighted the rapid transformation of the global economy driven by artificial intelligence (AI) [1] - The event showcased the release of the "Top Ten AI Innovative Application Cases," emphasizing the importance of AI in various industries [1] Industry Developments - The Guangdong Provincial Artificial Intelligence Industry Association aims to foster a collaborative ecosystem for AI, focusing on innovation, cooperation, and talent training to support high-quality development in the sector [3] - The Chinese government has been releasing favorable policies for AI, with the "AI+" initiative included in the 2025 Government Work Report, promoting the integration of digital technology with manufacturing and market advantages [5][6] Technological Trends - The emergence of AI-generated content (AIGC) is reshaping traditional digital content ecosystems in e-commerce, media, and entertainment, with companies like DeepSeek gaining significant traction in the AI model sector [7] - The integration of AI with various industries is accelerating, with data becoming a crucial asset in this transformation [9] Investment Opportunities - Investment directions in AI+ industries are promising, particularly in areas like cloud computing platforms, application software, and vertical sectors [11] - The AI model "DeepSeek" is noted for its potential to reshape the domestic AI industry ecosystem, indicating a shift towards commercializing AI agents [11] Workforce Implications - Experts suggest that the technological revolution will lead to an upgrade in job roles rather than outright replacement, emphasizing the need for skills in AI tool application and human-machine collaboration [13] - Legal frameworks are being developed to address challenges posed by AI, including copyright and liability issues, with a focus on case-based governance [13] Practical Applications - AI models are being implemented across various sectors, with companies like 广发证券 integrating AI into customer service and operational management [14] - The forum presented numerous innovative AI applications, including autonomous driving services, AI-driven healthcare solutions, and intelligent inspection systems for telecommunications [16][17][18][19][20][21][22][23][24][25][26][27][28]