Research on the application of enterprise internal control and risk management under the background of digital intelligence

Abstract

In the era of big data, the accelerated development of digital technology has become the leading force leading a new round of scientific and technological revolution. Manufacturing enterprises have also embarked on the journey of digital transformation. Under the digital background, the traditional risk management and control mode of enterprises is facing great challenges. As the external business environment and internal business process of the enterprise are becoming more and more complex, in the process of implementing internal control and risk management, there will be related problems such as inadequate data acquisition, low information processing efficiency and lagging information transmission. Therefore, how to find a way for enterprises to survive and develop in the context of big data is particularly important for modern enterprises to effectively avoid risks and achieve high-quality sustainable development. While enjoying the convenience brought by the big data system, enterprises also face many uncertainties. Based on the theory of internal control and risk management, this paper analyzes the defects of internal control and risk management of most enterprises in the market at present, looks for the causes of risk, and puts forward specific solutions to help enterprises improve their ability to resist risks and ensure high-quality and sustainable development.