Talgo Case Study: Use Google Cloud IoT to Advance Railway Predictive Maintenance (Cloud Next '19)

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In this talk, train manufacturer Talgo will explain how they are doing real-time ingestion data and predictive maintenance using Machine Learning and Google Cloud. Data is coming from devices integrated into high-speed trains and managed using Cloud IoT Core, with plans to deploy IoT Edge. Talgo will also show dashboards and how they make predictive maintenance and advanced repairing of faulty parts.

Advancing Railway Predictive Maintenance → http://bit.ly/2Ue45pn

Watch more:
Next ’19 IoT Sessions here → https://bit.ly/Next19IoT
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions

Subscribe to the GCP Channel → https://bit.ly/GCloudPlatform

Speaker(s): José Antonio Marcos Alberca, Rafael Sánchez, PhD

Session ID: IOT200
product:BigQuery,Data Studio,Cloud Pub/Sub; fullname:Rafael Sánchez;


Duration: 44:16
Publisher: Google Cloud
You can watch this video also at the source.


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