It is common in the machine learning world to hear a lot about performance and availability in terms of data infrastructure for AI. In this presentation, Jim Dowling will illustrate what lies behind these terms, the three different facets of performance, and the different levels of high availability.

He will discuss how these system properties relate to your machine learning models and when you might need to account for them when productionizing your models. 

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