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Here I describe the main challenges faced by data scientists involved in deploying machine learning models into real production environments.
I also include references/examples of Python libraries and multi-model systems requiring advanced features such as A/B testing and high scalability/availability.
While discussing the limitations of traditional deployment strategies, I will demonstrate how serverless computing can simplify your deployment workflow.