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hi im monty zwieben ceo and co-founder of spice machine and im here with my colleague jack ploschnick to talk about unified machine learning ops and feature stores and model deployment and how these come together to really scale machine learning so lets take a look at our organization for the talk well talk about the goals of production machine learning and why these are hard to achieve and transition to how a feature store makes this easier and what is the feature store landscape and whats a fresh approach to feature stores and how a new approach to deployment with feature stores can really facilitate the scaling of machine learning models in production so lets take a step back and look at the real time machine learning components whats necessary to have a machine learning stack to support real-time applications clearly you need modeling tools like notebooks experimentation tools like ml flow to keep track of your experiments deployment mechanisms often endpoint deployment mec