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SREcon18 Asia/Australia - Productionizing Machine-Learning Services: Lessons from Google SRE
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Salim Virji and Carlos Villavieja, Google
Have you thought that your model trained on a Monday might not work on Saturday? Or that the model that you trained on users in Florida might not work for all Spanish-speaking users? In this talk, we present lessons learned from deploying and productionizing ML systems across various products at Google.
Have you thought that your model trained on a Monday might not work on Saturday? Or that the model that you trained on users in Florida might not work for all Spanish-speaking users? In this talk, we present lessons learned from deploying and productionizing ML systems across various products at Google.