Abstract: Data loss will affect the comprehensiveness of resource utilization prediction results.In order to improve the prediction accuracy of resource utilization, improve prediction efficiency, and reduce data loss rate, an artificial intelligence prediction method for information system resource utilization based on big data is proposed.We can build a big data platform, through which the resource data of the information system is collected to obtain a resource data set.The blockchain technology can be used to store the collected resource data to avoid data loss.The decision tree technology is used to classify and process information system resource data.The utilization of different types of resource data can be predict according to the classification results, which is beneficial to improve the prediction efficiency.The experimental results show that the highest accuracy of the prediction results of the proposed method reaches 97%,the data loss rate is always lower than 2%,and the prediction efficiency is higher, which verifies the prediction effect of the method.