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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.
Join us to learn how performance at any scale is impacted by high availability infrastructures, and how those capabilities impact the value that is generated from the use of machine learning.
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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