Скачать или смотреть The Power of Causal AI: Determining Causality Lecture-14 mins

I probably spent over 20 hours crafting a 45-minute lecture on how organizations can design and apply causally driven analytics—so it felt wrong to let this one air only once a semester. Many of you have asked when I’d share more online lectures, so here you go!

Causal AI represents the next frontier in analytics maturity. It moves us beyond pattern recognition to understanding why outcomes happen—and how to change them. By identifying the causal factors driving specific entity outcomes (whether human or machine), organizations can use simulation and what-if analysis to design interventions that yield more meaningful, transparent, and trusted results.

This video complements Chapter 5 of my upcoming book, The AI-Human Edge, which explores how Entity Propensity Models (EPMs) and Entity Language Models (ELMs)—powered by Predictive, Causal, Generative, and Autonomous AI—work together to amplify human capability and unleash creativity across every domain.

If you’ve ever wondered how to turn AI from a tool that predicts into a system that understands, learns, and guides, this is the perfect place to start.