MLOps Collaboration
MLOps is not just about engineering; it thrives on collaboration with data scientists and engineers to streamline processes. By templating infrastructure, teams can focus on model and data variations without redundant retooling. This approach positions MLOps as internal advocates, creating tools that empower data scientists to efficiently implement solutions like streaming recommendation services.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 599: MLOps: Machine Learning Operations — with @Miki_ML
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