Causal AI

Technique in artificial intelligence that builds a causal model to make inferences using causality rather than just correlation. This approach allows organizations to explain decision-making processes and the causes behind specific decisions, providing more accurate and actionable insights. Causal AI is particularly beneficial for industries requiring robust decision-making frameworks, such as healthcare, finance, and marketing.