Deployment & Serving: Exploring 6 Key MLOps Questions using AWS SageMaker

This article is part of the AWS SageMaker series for exploration of ’31 Questions that Shape Fortune 500 ML Strategy’.

What?

The previous blog posts, “Data Acquisition & Exploration”, “Data Transformation and Feature Engineering” and “Experiments, Model Training & Evaluation”, explored how AWS SageMaker’s capabilities can help data scientists collaborate and accelerate the journey from data exploration to model creation.

This blog post will focus on key questions related to deploying and serving …

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