Arize - Stop Blaming the Algorithm: It’s Your Feature Store! - FS Summit 23
Claire is currently Head of ML Solutions Engineering @Arize, leading post-sales machine learning solutions engineering efforts and assisting Arize customers in integrating ML Observability into their MLOps infrastructure and workflows.
In her talk, she explores strategies for preventing feature store failures that often go unnoticed, emphasizing methods to protect your models. She also demonstrates proactive approaches to identify issues before they affect model performance, and offers guidance on essential monitoring aspects throughout your feature store and model infrastructure
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