Causal Inference
Causal AI vs Bayesian Networks

Causal AI is the only technology that can reason and make choices like humans do. It utilizes causality to go beyond narrow machine learning predictions and can be directly integrated into human decision-making. It autonomously searches for causes in data, while also boosting experimentation and human intuition. 

Bayesian networks and Causal AI models appear similar. But Causal AI models capture underlying causal relationships; Bayesian networks just describe patterns of correlations. This paradigm shift makes Causal AI models far more flexible, versatile, and powerful.