Shadow Deployment in Machine Learning Explained in 60 Seconds | Safe Model Rollouts

Shadow deployment in machine learning is a safe way to test a new model in production by running it alongside the existing model without impacting real users. This 60-second glossary video breaks down what shadow deployment is, how it works, and why ML teams use it to de-risk model launches. What you'll learn: - The plain-English definition of shadow deployment in ML - A simple mental model for thinking about shadow deployments - A concrete real-world example from production systems - Why shadow deployment matters for reliable, low-risk ML releases Related videos on 1MinuteGlossary: - Model …