Dynamic simulation of the economic impact of financial development based on wireless sensor networks and artificial intelligence

Abstract

In this article, we use the method of sample analysis to analyze the current development of China's financial industry and the impact of the financial industry on the current economy. In the process of analysis, we found that China's economic development is unbalanced. The eastern part has a fast development process, while the western part has a slow development process, and the economic independence is poor. Export-oriented income accounts for a large proportion of total income. The original data system has defects and cannot provide a reliable source of data for the embedded database. Therefore, we have developed an analysis system that can be applied to the embedded database to more accurately predict the impact of the financial industry on economic development. The alternative model used later gave dynamic analysis capabilities that the original analysis system did not possess, and improved the predictability of the financial environment by enhancing the variability of the system, thus achieving breakthrough achievements in analysis. Through various research investigations, we can find that embedded databases have their unique advantages in many aspects. At present, due to the development of the multimedia industry, the pace of joint development of intelligent AI technology and the financial industry is also accelerating, which brings more development opportunities while also bringing many challenges. Therefore, the traditional financial industry needs to undergo transformation. The advancement of science and technology is the fundamental driving force for the development of every industry. Therefore, we need to increase investment in science and technology, cultivate new talents, enhance risk control capabilities, strengthen supervision of the industry, and enhance the intelligent level of industry development.