A Risk Prediction System for Business Management Decisions Based on Artificial Intelligence Generated Content

In response to the influencing factors and technical issues of enterprise operational decision-making risk prediction, a risk prediction system for enterprise operational decision-making is designed based on Artificial Intelligence Generated Content, focusing on risk prediction and control methods. The system utilizes tools and technologies such as large AI models and machine learning to conduct risk assessment model training, decision support model construction, and predictive compliance governance, forming a data source module along with risk identification, analysis, and evaluation modules. Through the training set, empirical risk is calculated, ultimately leading to targeted decision-making regarding enterprise operational risks. System simulation experiments were conducted using MATLAB, yielding a predicted value of -0.4419, which is close to the actual value of -0.4426. The results indicate that the enterprise operational decision-making risk prediction system is feasible.