Machine Learning at Scale: Managing More Than One Model in Production

Over a decade of industry experience highlights the evolution from deploying single machine learning models to managing extensive portfolios of models in production environments. The key innovation involves developing scalable, robust infrastructure and best practices for monitoring, updating, and maintaining multiple models simultaneously, ensuring consistent performance and reliability at scale.