Swap the Model, Keep the Answer.
A new model ships every few weeks, and every swap risks breaking what already works in production. An operator frames a real problem, and DecisionX builds it live on context rather than on one model, using synthetic data so nothing confidential is shown.
What you’ll take away- Why the answer should live in context, not in the model
- What holds, and what needs retesting, when a model changes
- Keeping forecasts stable through model churn
- A live build on synthetic data, framed by a real operator problem
Speakers to be announced