How to Use AI Reliability to Identify and Predict Model Decay

What if we could predict how long our models will last in the field?Is there a mathematical way to estimate mean time to failure for a specific model?In this episode, Dave Cole is joined by Celeste Fralick, Chief Data Scientist at McAfee, to discuss AI reliability and how it can help predict model decay.Celeste also explained: - What AI reliability measures- Processes to put in place to measure AI reliability- The difference between DevOps and MLOps at McAfee- How adversarial machine learning works- How to build out a more diverse data science teamTune in on Apple Podcasts, Spotify, our website, or wherever you listen to podcasts.Listening on a desktop & can’t see the links? Just search for Data Science Leaders in your favorite podcast player.