Application of Machine Learning in Risk Assessment of Big Data IOT Credit Financial Management of Operator

With the advent of the era of big data, Internet technology has been developed in various industries. As a communications equipment supplier, telecom operators are coming to recognize that the Internet of Things plays a crucial role in improving enterprise asset management capabilities and reducing costs. Therefore, on the basis of machine learning, it is very necessary to study the risk assessment of big data IOT credit and the financial management of operators. This paper first introduces the concept of credit risk assessment, and then studies the Internet of Things credit assessment system, and then discusses the application of machine learning algorithm deeply. Based on this, this paper designs and studies the credit financial management risk assessment model of big data Internet of Things from different dimensions. At the same time, through a series of performance simulations, the model has good security, stability and compatibility, and it can basically meet the needs of users.