Lockheed Martin and Ulbrich Stainless Steel use SAS Artificial Intelligence to conquer IoT challenges

from Lockheed Martin and Ulbrich Stainless Steel use SAS Artificial Intelligence to conquer IoT challenges
by Anasia D'mello
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Manufacturing companies, Ulbrich Stainless Steel and Lockheed Martin are using SAS analytics to drive Internet of Things (IoT) innovation in their facilities. Whether manufacturing engineered stainless steel for medical implants or creating the speciality 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 analyse the data created by its plant sensors.

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, chief operating officer at 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 of Pinnacle Solutions, a SAS implementation partner.

Faster results for all users

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 specialised skills. Whether a data scientist, business manager, or someone in between, they can use SAS Analytics for IoT to quickly select, launch, transform and operationalise 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.

“SAS talks about ‘democratising analytics’ as the ethos behind SAS Analytics for IoT,” says Marta Muñoz Méndez-Villamil in a recent IDC Market Note. “This comes as a welcome message to a technology that seems to be stuck at precisely this stage. Tools and solutions that help simplify analytics, insights visualisation, and actioning of IoT data accelerate enterprises’ time to value from their IoT implementations.”

Jennifer Major, head of IoT at SAS UK & Ireland, comments: “IoT is playing a major role in redefining how manufacturers work. But the value of IoT is inherently tied up with the value in the data it produces – and manufacturers can only access that value if they have the ability to rapidly and accurately analyse data. As volume, variety and velocity of data increases, advanced, automated analytics are essential to allow companies to consistently derive actionable insights from shop-floor sensors.

“The possibilities are huge – with the added insight, manufacturers will be able to drive more intelligent, effective working processes. But that must be built on effective [...]

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