3min chapter

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Why is MLOps Hard in an Enterprise? // Maria Vechtomova & Basak Eskili // MLOps Podcast #159

MLOps.community

CHAPTER

How to Choose the Right Tool for Your MLOps Platform

Our team is slightly centralized as well given that we are not attached to any brands, we are working as more consultants to brands from a global team. So this already gives us the chance to actually develop models for multiple brands already since the beginning and you ask for a code reviewing well our team develops the models,. Our data scientists develops the models and there are also some data scientists from different brands they can also contribute so it's more like an open project within our organization that people can contribute. I think it's also important to mention that data is of course an important part of the whole thing and there are data engineers on the platform site that make sure that the data arrives to the prepared layer that

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