NORTHKING TECH(002987)2025-02-26 11:40Group 1: AI Application in Banking - The adoption of private deployment of AI models by banks is increasing due to concerns over data security and privacy, leading to a significant rise in related business demands [2] - The DeepSeek model's high performance, low cost, and open-source nature have lowered the barriers for AI applications, encouraging banks to explore more use cases [2] - The company has launched several AI model service platforms and products, including intelligent investment advisory and smart risk control, to meet the growing needs of the banking sector [2] Group 2: Changes in Banking Needs - There is a shift in banks' AI application needs, moving from backend internal uses to frontend applications such as AI marketing and intelligent credit [2] - The customer base for AI applications is expanding beyond large banks to include small and medium-sized banks, indicating a broader market opportunity [2] Group 3: Company Strategy and Workforce Impact - The company plans to enhance its R&D efforts to capture more business opportunities in the AI sector, aiming to cover a wider range of applications [2] - As AI usage increases, the demand for algorithm engineers is expected to rise, while the need for junior developers may decrease, prompting a restructuring of the workforce [3] - The company is committed to optimizing its talent acquisition and training systems to improve overall team capabilities and maintain competitive advantages [3] Group 4: Specific AI Implementations - In the anti-fraud sector, the company has successfully improved model recognition rates through collaboration with banking clients, resulting in high customer satisfaction [3] - The company has implemented private models in intelligent investment advisory, enhancing operational efficiency in repetitive tasks [3] - Ongoing pilot projects in intelligent credit and smart operations are being explored to further develop AI applications in banking [3]