Case Study: How a Large Brewery Uses Machine Learning for Preventive Maintenance (Cloud Next '18)

Learn how machine learning is used to optimize the beer manufacturing process. This use case has a direct impact on the production line and identifying downtime of equipment, and huge impact on cost, time, and quality of beer being produced. The role of machine learning is to improve the manufacturing process and quality while driving higher ROI through an undisruptive production process.
Listen to experts on how Deep Learning was used with classifications of good parts vs. bad parts using TensorFlow. The model will be deployed to Google Cloud Machine Learning Engine where it will make predictions of the new data that is fed every day with an interactive dashboard using Data Studio.
Event schedule → g.co/next18
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Next ‘18 All Sessions playlist → bit.ly/Allsessions
Subscribe to the Google Cloud channel! → bit.ly/NextSub
re_ty: Publish; product: Cloud - General; event: Google Cloud Next 2018;

[@industrialinsight2089]

SAP as the data source (*snicker*)

[@carlosquiroz7819]

I am surprised they did not use the word quantum in their presentation to help sell this.