Research on Business-finance Integration, Digital Transformation and Corporate Performance based on Dual Machine Learning

With the rapid development of digital economy, business-financial integration and digital transformation have become an important means for enterprises to improve operational efficiency and enhance competitiveness. Based on the pairwise machine learning method, this paper explores the impact mechanism of industry-finance integration and digital transformation on enterprise performance, analyzes the mediating role of industry-finance integration in digital transformation through causal inference framework, big data analysis and machine learning algorithms, and further explores its long-term effect on enterprise performance. The results of the study show that business-financial integration can effectively promote the implementation of digital transformation, thereby improving enterprise financial performance and market competitiveness.