Deciding in the Age of AI, Lessons from a Poker Player
A professional poker champion turned CEO, Nicolas Levi uses poker as a laboratory for decision-making under uncertainty.
A keynote about decision-making, risk management, and the place of humans alongside artificial intelligence.
When the world's 100 best poker players faced the machine, and lost, they learned a lesson that applies to every company in transformation: AI gives you the state of the art, but it can neither understand you nor decide for you.
Participants leave with a concrete four-step decision model, Learn, Reason, Decide, Relearn, applicable the very next day.
Key takeaways
- 1
The quality of a decision ≠ its immediate outcome (tool: Sklansky Dollars)
- 2
Two kinds of errors, including the invisible "leaks" that cost the most
- 3
Copying the AI is a strategic mistake (Game Theory Optimal)
- 4
A four-step model: Learn → Reason → Decide → Relearn
Formats
30 min keynote to full 90 min conference
Audiences
Executive committees · conventions · digital transformation events · partner days
This keynote at your event?
The two other keynotes : Reading the Table · Capturing Attention