Production Model Deployment
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Have you built a model you’re confident in? Great! Now, you need to put it into production. Generally, this means reliably transmitting the output of a model to another system, but people can mean a lot of things when they say deployment: data, API, or code artifact deployments. First, we will discuss how these deployment types fit into model development workflows and integrate with outside systems. Then we will move on to the fun, gnarly stuff -- challenges in deployment and strategies from across the industry for managing these issues.
Transcript
Have you built a model you’re confident in? Great! Now, you need to put it into production. Generally, this means reliably transmitting the output of a model to another system, but people can mean a lot of things when they say deployment: data, API, or code artifact deployments. First, we will discuss how these deployment types fit into model development workflows and integrate with outside systems. Then we will move on to the fun, gnarly stuff -- challenges in deployment and strategies from across the industry for managing these issues.
About the speakers
Data Platform & ML Engineer at Stitchfix