DeveloperWeek Austin 2018

How do you deploy and manage not just 1, but 100’s of machine learning models?  What changes when you move from batch processing to synchronous calls?  When your algorithms become mission critical, what changes?  What is seemingly easy when working for a small company, with lower volumes or with batch operations becomes exponentially more difficult at scale.  Off the shelf development and deployment platforms have existed for years, but use cases are becoming broader and corporations are starting to customize and invest internally.  In this presentation, I will discuss the infrastructure and processes necessary to operationalize data science at scale.