The data to be translated: Ant Group has open-sourced the industry's first distributed end-to-end causal learning system, OpenASCE, at the international conference on machine learning and artificial intelligence, NeurIPS. OpenASCE supports distributed Bayesian network structure search and causal discovery based on continuous optimization, capable of handling large-scale data. The system has extensive applications in credit risk control, marketing optimization, and recommendation scenarios, helping to accurately identify the causal relationships between risk factors and customer behaviors, thereby enhancing the precision and efficiency of risk control. Additionally, OpenASCE includes over 20 industrial-grade causal learning algorithms, effectively lowering the application barriers for causal technology.