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Ulbrich Stainless Steel uses AI embedded SAS solution to flatten its IoT data challenges-The 20th China(Guangzhou)Int'l Stainless Steel Industry Exhibition
4/29/2019 - Stainless Steel Exhibition |
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Whether manufacturing engineered stainless steel for medical implants or creating the specialty wire for solar panels, Ulbrich Stainless Steel & Specialty Metals knows its customers count on consistently high-quality products. Staying ahead of maintenance and production challenges that keep precision metals rolling out of its plants on time is a high priority for the global company. That’s why Ulbrich recently chose SAS® Analytics for IoT to analyze the data created by its plant sensors. Mr Jay Cei, Chief Operating Officer at Ulbrich said that Precision and quality are key factors in manufacturing highly engineered metals that support our customers’ varied needs. Collecting machine and sensor data from our factories and integrating that with ERP system data will help us understand the intricate relationships between equipment, people, suppliers and customers. Using SAS to learn what our IoT data means is critical for understanding how we can become more productive and efficient in the future.”
Mr DJ Penix, President of Pinnacle Solutions, a SAS implementation partner said that “Streaming analytics will not only help Ulbrich understand what is happening now with their machines, but it will also enable them to predict future events, such as when a machine needs maintenance before it breaks down.”
Recent upgrades to SAS® Analytics for IoT mean enterprises have access to the latest suite of AI, machine learning and streaming analytics available.
The software provides a simplified way for any user to prepare stationary and streaming IoT data for analysis without specialized skills. Whether a data scientist, business manager, or someone in between, they can use SAS Analytics for IoT to quickly select, launch, transform and operationalize IoT data to make informed, timely decisions. The upgraded SAS software provides open application program interfaces (APIs) to enable integration with other SAS, third-party and open-source products
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