Hands-On Causal AI: Exploring Cause & Effect for Decision-Making

Elevate your data-driven decision-making skills with Causal AI! This interactive workshop, tailored for engineers, data/risk analysts, and data scientists, will guide you through causal inference and structural causal models. Learn the key difference between correlation and causation, and dive into directed acyclic graphs, counterfactual reasoning, and confounding adjustment.

Enjoy the art of combining human knowledge and data insights inside causal models and understand their real-world impact by answering questions like, "Would a fraction of a second earlier braking have prevented a collision for an emergency brake assistant?" or "Which influencing factors cause problems for systems?"

Don't miss this chance to enhance your data analysis and risk management skills with the insights of causal inference. Register now and learn how to unlock the true potential of Causal AI!

Agenda:

1. Introduction to Causal AI (50 min)

2. Hands-On I: Constructing a Causal Graph Together (30 min)

3. Hands-On II: Interrogating our Causal Model (20 min)

4. Real-World Applications of Causal AI (20 min)

5. Q&A and Networking with Snacks & Drinks (60 min)