Deepseek in Enterprise Intelligent Financial Alerting

Abstract

The article analyzes the current research status of DeepSeek and the applicability of intelligent financial early warning, adopts the technology acceptance model to match the demand for intelligent financial early warning with the technical route of DeepSeek application, discusses the multimodal data processing and dynamic early warning model of DeepSeek, and puts forward the "1+5+N" It also proposes the "1+5+N" application system framework, which covers the core aspects of data integration, risk identification, trend prediction, etc., and realizes multimodal data fusion and real-time monitoring through layered architecture. At the same time, it reveals the main challenges currently faced: the contradiction between the demand for high-performance hardware in the core model and the lack of arithmetic power in SMEs, the technical bottleneck of multimodal data cleaning and fusion, and the limitations of the adaptability of the dynamic early warning model in unexpected events. To address these issues, it is recommended that the technology should be promoted by strengthening the sharing of computing power, formulating unified industry standards, and cross-domain data fusion.