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Why Metaflow?
1. Modern businesses are eager to utilize data science and ML
Metaflow was originally created at Netflix, motivated by the realization that data scientists and ML engineers need help with all these concerns: Any gaps or friction in the stack can slow down the project drastically. Thanks to a common foundation provided by Metaflow, data scientists can iterate on ideas quickly and deploy them confidently by relying on a well-defined architecture and best practices, shared by everyone in the team. Today, Metaflow powers thousands of ML/DS applications at innovative companies such as Netflix, CNN, SAP, 23andMe, Realtor.com, REA, Coveo, Latana, and hundreds of others across industries.
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