Google Cloud Next 2019 | Retail Sessions
Google Cloud Next 2019 | Things I Wish I Knew Before Building Serverless ML Solutions
Building ML models for a proof-of-concept app is easy. To deploy them in a production system is hard. It becomes even more challenging when you have to keep your models fresh by retraining them every day. These challenges are faced by every team working on deploying their ML solutions. The session will demonstrate how Omni Labs is doing this process in a serverless manner. After the talk you should be able to reason about your ML models and architect serverless ML pipelines.
From our partners:
Speaker(s): Martin Omander, Vikram Tiwari
Session ID: SVR301
Product:BigQuery,Cloud ML Engine,Cloud Dataflow;
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