Architecting Live NCAA Predictions: From Archives to Insights (Cloud Next '18)

This session is an end-to-end journey through ingestion, transformation, exploratory analysis, model development, visualization, and predictions -- focused on the madness of the men's NCAA Division 1 championship basketball tournament. Look inside the game plan to deliver real time ads from numerous player disciplines including: data engineering, data science, machine learning, marketing and even the fan. Session will review patterns and best practices for products including: BigQuery, Cloud Dataflow, Cloud Datalab, TensorFlow, Cloud ML, and Data Studio.

MLAI100

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re_ty: Publish; product: Cloud - Data Analytics - BigQuery, Cloud - Data Analytics - Dataflow, Cloud - Data Analytics - Google Data Studio, TensorFlow - General; fullname: Eric Schmidt; event: Google Cloud Next 2018;

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