Intelligent Information Management and Resource Allocation Optimization Model Based on Artificial Intelligence

This article expounds the importance of information management and resource allocation in modern society, and the limitations of traditional methods in the face of complex information environment, and then puts forward the necessity of intelligent solutions. Firstly, this article reviews the basic theory of AI (Artificial Intelligence), information management theory and resource allocation optimization theory, which provides a theoretical basis for model construction. Based on this, by building an AI-based model, the efficient processing of massive information and the precise allocation of resources can be realized. In this article, the construction process of intelligent information management and resource allocation optimization model is described in detail, including key steps such as data preprocessing, feature engineering, model design and training tuning. Through experimental design, implementation and result analysis, the advantages of the model in information processing speed, resource allocation efficiency and prediction accuracy are verified. The results show that the intelligent model can improve the efficiency of information processing, realize the accurate allocation and dynamic adjustment of resources, and the prediction accuracy is obviously better than the comparison method. These results prove the effectiveness and practicability of the intelligent information management and resource allocation optimization model.