Wangari

Wangari

June 2026

The Causal Imperative: Why Correlation is Not Enough
How causal inference is bridging the gap between analysis and action
 • Ari Joury
The Signal in the Noise: Feature Engineering and Soccer
Or how soccer teaches you so much more than just kicking a ball
 • Ari Joury
28:30
What predicting a soccer match teaches us about real-life AI
And how to make good predictions work in enterprise settings
 • Ari Joury
How Agentic AI is Liberating Human Capital in Insurance
The Actuarial Time Trap is no longer as bad as it used to be
 • Ari Joury
29:17
The Actuarial Time Trap
Why highly paid professionals spend 80% of their time formatting data, and how agentic AI can finally break the cycle.
 • Ari Joury
Why Most World Cup Predictions Are Wrong (And Why I Wrote a Book About Soccer ML Anyway)
Every four years, the models say Brazil. Every four years, the World Cup disagrees (except when Brazil actually wins and nobody predicted it).
 • Ari Joury
25:36
Stop Trusting ML Predictions for the 2026 World Cup. Here's Why.
I wrote a book about soccer analytics with machine learning. The World Cup is where most of it breaks.
 • Ari Joury
The Slow Collapse
Why AI Systems Fail Silently in Production
 • Ari Joury
30:51
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