How to productize your data?

Productizing a model means that a data science team needs to support operational issues for maintaining a live system. Some custom approaches that some teams use to productize models are listed below:

• Build a model specification
• Batch deployments
• Live deployment
• Building data products that enable new features.

This approach enables data scientists to work locally with sampled data sets for training models, and then use the resulting model specifications on the complete data set. The third step may take some initial support from an engineering team, but only needs to be set up once.

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