✯✯✯ Jim Quinteros Steel Case Study

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Jim Quinteros Steel Case Study

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Steel manufacturing is a complex process made up of several different systems. Without local resources and high operational costs, Swiss Steel knew that it had to find a radically disruptive solution to stay competitive. The company decided to build a networked platform that would monitor its mechanical and logistical processes and store the data in one place for the first time. In order to build such a platform, it searched for a cloud-based infrastructure.

Swiss Steel chose GCP for its track record with cloud technology, security, and innovation. Teaming up with Google Partner Wabion , Swiss Steel began by using Google Maps Platform to visualize geographical data about its logistics network, while Firebase helped store the data in the best way for quick, efficient loading. It provides all the flexibility we need at a really low cost. After success with the Google Maps project, Wabion helped Swiss Steel build a much larger platform using a number of GCP products, adding new processes in stages.

The company used Google Cloud Dataflow to pipeline multiple data streams into Google BigQuery , where it could analyze trends and look for insight. Meanwhile, Wabion and Swiss Steel also used Firebase for the mobile application. By equipping its plant workers with smart watches, for instance, Swiss Steel has made it easier and faster to raise alarms, which automatically and instantly provide vital information to repair teams, dramatically improving safety throughout the company. With real-time data from Google Maps and other parts of the supply chain, Swiss Steel could make more efficient use of its transport network and not leave trucks idling.

Along with these indirect savings, Swiss Steel and Wabion were able to iteratively build the Swiss Steel platform without heavy upfront investment because of the low GCP costs. After each success, we gained insight as to how we could best approach the next steps and, ultimately, build out our platform as well as a machine-learning-driven price prediction resource. The Swiss Steel journey with Wabion and Google is far from over. The company is currently bringing as much data as possible into GCP to feed algorithms built with Google AI machine learning tools , which will help provide resource price prediction analytics and a predictive maintenance solution.

In addition, Swiss Steel is experimenting with Google Glass and augmented reality to help its workers identify the problems with faulty machinery and reach solutions much faster. As Swiss Steel continues to innovate, it can look to Wabion and Google to keep providing the tools to build the best possible platform it can. I told them what we needed and they helped make it a reality. Why Google close Discover why leading businesses choose Google Cloud Whether your business is early in its journey or well on its way to digital transformation, Google Cloud can help you solve your toughest challenges.

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