Core Insights - The National Bureau of Statistics has officially released the list of pilot projects for high-quality data set construction for 2025, with the project "Multi-modal High-Quality Data Set Construction for Financial Industry Large Models" successfully selected, co-applied by Hang Seng Electronics and Zheshang Securities [2][3] Group 1: Project Overview - The selected project addresses core challenges in financial vertical large models, including data quality inconsistencies, insufficient interpretability, and difficulties in practical application [3] - The construction path involves data fusion, standardized processing, knowledge modeling, scenario application, and ecological empowerment, aiming to create a high-quality financial data set with high accuracy, timeliness, and coverage [3] Group 2: Company Background - Hang Seng Electronics has over 30 years of experience in capital market information technology, providing top-tier technology and product services to various financial institutions [3][4] - Hang Seng Data Service, a subsidiary, has extensive experience in financial data collection, cleaning, structured processing, and deep mining, serving nearly a thousand institutions [4] Group 3: Future Plans - Moving forward, Hang Seng Electronics and Hang Seng Data Service will leverage this pilot project to focus on high-quality data set construction for the financial industry, supporting the integration of large model technology into financial business scenarios [5]

Core Insights - The core viewpoint of the article emphasizes that data will become the key competitive advantage for financial institutions as technology barriers diminish and the industry shifts towards data-driven decision-making [1][5][10] Industry Trends - Financial technology has transitioned from an optional choice to a mandatory requirement for institutions, with the application of large models and cloud computing lowering the technical entry barriers for smaller firms [1][2] - The competition among financial institutions is expected to increasingly depend on their ability to mine and utilize internal and external data effectively [5][10] Company Developments - 恒生聚源 has launched the large model product "WarrenQ" and an AI-friendly financial database "AIDB" to enhance data governance and facilitate precise data retrieval for financial structured data [2][10] - The company aims to play three core roles in the financial industry: leveraging its data capabilities, assisting financial institutions in implementing large models, and exploring innovative business models collaboratively [2][10] Future Outlook - Over the next 3-5 years, significant changes in large model development are anticipated, including breakthroughs in operational efficiency, transformation in human-machine interaction, and a shift towards low/no-code IT solutions [9][10] - The company envisions becoming an "intelligent information service partner" by focusing on investment research, wealth management, and risk warning as priority areas for application [11][12]