How does A/B testing differ from shadow deployment in AI?
Reviewed by Jason Burns, Editorial Steward · Last updated
A/B testing splits live traffic between two model versions and compares business outcomes; shadow deployment sends real traffic to a new model without using its predictions in production, letting you observe behavior and errors risk-free before switching.