Scaling Machine Learning: How We Unified Feature Management, MLOps, and Model Governance
At any large-scale engineering organization, the transition from training a model to serving it in a production environment is the moment where theory meets friction. Earlier in our development cycle, we encountered a persistent issue: the models we trained in our research environments often performed inconsistently once deployed. The root cause wasn’t the algorithms, but … Read more