Enterprise financial risk management platform based on 5 G mobile communication and embedded system

摘要

5 G technology has been applied to the financial sector. As a mortgage and supervision of sensors, network cameras, mobile device to improve the financial performance of real-time data generated by the data, bank loan credit risk management has been used. There are many risks of financial credit in modern society, the most important of which is the financial danger on mobile Internet. In the case of mobile phone payment popularity, financial risk has also greatly improved. This makes the traditional statistics and models can not fully meet the needs of the development of modern society. Bank credit risk has also improved to some extent. Therefore, there is a practical need for a more robust risk prediction model of artificial intelligence to predict the default behavior with good accuracy and competency-based big data analytics. This paper presents data mining method optimization and 5 G mobile communications and embedded systems commercial banks, based on financial risk management. It is safe to protect personal privacy, consider these requirements 5 G system design. To successfully connect to the ability to make money, telecom service providers need to ask their players to match their products and the industry. In addition to simple connections, they need a unified high-level function, such as coordination of network resources, analytical capabilities, and automated business and operations. Mob ileum provides Business Assurance Analytics to improve and develop a strong customer value proposition during 5 G technologies deployment. Experimental results show that the risk management models have fast convergence, powerful forecasting capabilities, and effectively perform screening default behavior. Simultaneously, distributed significant data clusters to achieve significantly reduce the processing time model training and testing.