Causal Artificial Intelligence
The Next Step in Effective Business AI
Created by John K. Thompson, Judith S. Hurwitz
Explore how causal AI goes beyond finding patterns to explain why data relationships exist. Learn to use causal models for more reliable analytics and smarter business decisions. Connect technical concepts to real business challenges and value.
Wiley | Sep 2026 | 384 min
What You Will Learn
You will start by learning the basics of causal AI and why correlation is often not enough. As you move forward, you will see how causal models link to analytics maturity and business value. Real-world examples and conceptual explanations help you apply causal thinking to everyday decision-making.
Key Features
- Understand causal models, counterfactuals, and confounders for better business insight
- Compare correlation-based AI with causal approaches to improve explainability
- Apply practical frameworks for teams, data quality, and visualization in causal AI projects
Target Audience
This course is designed for business leaders, analytics professionals, data scientists, and consultants who want to make AI more explainable and trustworthy. If you are comfortable with analytics basics and want to understand how causality can improve your decisions and reduce bias, you will find this content valuable.
