What are the application cases of domestic large models in financial services?
As domestic financial institutions advance their digital transformation, large models have formed typical application cases in core scenarios such as risk control, customer service, investment research and analysis, covering multiple financial fields including credit, retail, and asset management. Risk Control: By integrating multi-dimensional data such as enterprise operation data, supply chain information, and public opinion, optimize the credit evaluation model in credit approval, and improve risk control efficiency and accuracy. Intelligent Customer Service: Build a 7x24 online multi-round dialogue system to answer high-frequency questions such as account inquiries and business handling, while supporting dialect recognition and emotion understanding to enhance customer experience. Investment Research and Analysis: Integrate macroeconomic data, industry reports, and news information to generate market trend forecasts and investment strategy recommendations, assisting analysts in quickly locating key information. Compliance Audit: Automatically review contract terms and regulatory documents, identify potential compliance risks, reduce manual review costs and minimize omissions. Financial institutions can select suitable scenarios based on business pain points, prioritize pilot applications in links with sufficient data accumulation, while focusing on model interpretability and data security compliance, and gradually explore the in-depth implementation of large models in financial services.
