KPI-based enterprise management decision-making system Artificial Intelligence Generated Content modeling

In terms of business decision-making, there are still issues to be resolved regarding the intelligence of key performance indicators. To address this technical problem, from the perspective of Artificial Intelligence Generated Content, modeling methods such as support vector machines, random search, and machine learning for key performance indicators (KPI) in business decision-making systems have been proposed. The system integrates with large language models, driving the generative efficiency and accuracy of KPI data cleaning, feature extraction, and model optimization training. Using MATLAB to conduct predictive simulation experiments on the integrated system, compared to general information systems for KPIs that do not utilize large language models or Artificial Intelligence Generated Content, the volume of reference data for business decision-making based on large language models increased by 93.61 times, and decision-making efficiency improved by 36.59%, indicating that the Artificial Intelligence Generated Content modeling scheme for business decision-making systems based on operational KPIs is feasible.