Value of Machine Learning and Predictive Modeling in Business Decision-Making

Abstract

With the continuous development of artificial intelligence technology, machine learning and predictive modeling are increasingly widely used in business decision making. This article explores in depth how machine learning can drive business value by improving risk management, supporting strategic decisions, and optimizing resource allocation. However, the practical application also faces the challenges of data quality, model transparency, overfitting and deviation. In the face of these problems, optimization strategies such as improving data quality, enhancing model transparency, reducing model bias and complying with regulatory ethics are proposed to ensure the accuracy and fairness of the decision-making process.