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Ulbrich Stainless Steel uses SAS AI Solution to Solve IoT Data Challenges

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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 reportedly why Ulbrich recently chose SAS Analytics for IoT to analyze the data created by its plant sensors, according to a recent announcement.

Ulbrich manufacturers the metals used in a wide range of specialty products from engine parts to the wire used in stringed musical instruments. “Precision and quality are key factors in manufacturing highly engineered metals that support our customers’ varied needs,” said Jay Cei, COO, Ulbrich. “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.”

“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,” said DJ Penix, President, Pinnacle Solutions, a SAS implementation partner. 

Recent upgrades to SAS Analytics for IoT reportedly mean enterprises have access to the latest suite of AI, machine learning and streaming analytics available. The software is designed to provide a simplified way for any user to prepare stationary and streaming IoT data for analysis without specialized skills.

“To thrive, organizations need a solution that addresses data complexity and automates timely and accurate decision making,” said Jason Mann, VP, IoT, SAS. “SAS Analytics for IoT delivers this capability across the entire analytics life cycle – from data preparation to discovery to scalable deployment.”

SAS will showcase SAS Analytics for IoT and its embedded AI capabilities via connected patient, connected quality, and connected equipment demonstrations at SAS Global Forum, the world's largest analytics conference, April 28 through May 1 in Dallas. To learn more about the convergence of AI and IoT, download The Artificial Intelligence of Things white paper.

IoT Evolution will be reporting from SAS Global Forum next week.




Edited by Ken Briodagh

Editorial Director

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