Case Study: How a Large Brewery Uses Machine Learning for Preventive Maintenance (Cloud Next '18)
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Learn how machine learning is used to optimize the beer production process. This use case has a direct impact on the production line, identifying equipment downtime and a huge impact on the cost, time and quality of the beer produced. The role of machine learning is to improve the manufacturing process and quality while achieving a higher ROI through an uninterrupted production process.
Hear experts explain how deep learning was used to classify good and bad parts using TensorFlow. The model is deployed on the Google Cloud Machine Learning Engine, where it makes predictions on the new data fed into an interactive dashboard every day using Data Studio.
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re_ty: Publish; Product: Cloud – General; Event: Google Cloud Next 2018;
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