Transformation of New Quality Productivity in Enterprise Management Empowered by AI: Evolution from Automation to Intelligent Decision Making
DOI:
https://doi.org/10.54097/5176dn48Keywords:
Artificial Intelligence, Enterprise Management, XGBoost Algorithm, Productivity Transformation, Intelligent Decision-makingAbstract
In modern enterprise management, the application of AI (Artificial Intelligence) technology is rapidly driving the transformation of productivity from traditional automation to intelligent decision-making. This article explored the background, current situation, and future development direction of this transformation, analyzed the current problems, and introduced new methods and specific cases of AI empowerment to achieve intelligent decision-making. This article studied the application effect of XGBoost algorithm in enterprise management, with a focus on evaluating its performance in improving production efficiency, decision accuracy, reducing operating costs, and improving customer satisfaction. After applying the XGBoost algorithm, the average production efficiency increased to 60 pieces, an increase of 20%; the average decision accuracy increased to 0.92; the monthly average operating cost decreased to $80000, a decrease of 20%; the quarterly average customer satisfaction score increased to 4.2 points, an increase of about 20%. From the data conclusion, it can be seen that the XGBoost algorithm has a significant efficiency improvement effect in intelligent decision support systems, providing strong technical support for the intelligent transformation of enterprise management.
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