Causal artificial intelligence
the next step in effective business ai
Bibliographic details
Additional authors
Thompson, John K.
Summary
This book explores causal artificial intelligence and its role in improving business decision-making and AI effectiveness. It explains the concepts of causality, causal inference, and causal models while comparing them with correlation-based AI approaches. The authors provide practical business use cases, implementation strategies, and guidance for organizations seeking explainable and efficient AI systems.