ML platforms enable data science teams to create and manage ML projects in a governed process at scale. These platforms support sit between two additional architectural elements (the data platform and consumption layer). These architectural elements provide data science teams the flexibility that they need to scale, adapt, and innovate. Read this report to learn about three different product approaches that couple an ML platform with a data platform.

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