Siemens and SAS Partner to Deliver AI-embedded IoT Analytics for Edge and Cloud

Siemens Digital Industries Software and SAS announced a new partnership today that will help companies create new IoT edge and cloud-enabled solutions by applying SAS and open source streaming analytics through Siemens’ MindSphere. Users will gain access to SAS advanced and predictive analytics in MindSphere, which can accelerate the adoption of machine learning (ML) and artificial intelligence (AI) in Internet of Things (IoT) environments.      

Siemens and SAS will collaborate to engage with new and existing customers and, beginning with streaming analytics, enable near-real-time embedded AI for IoT devices at the edge. The partners expect the solutions to be generally available later this year.  

“SAS is a recognized world-leader in advanced analytics, machine learning and artificial intelligence. We are excited to leverage their analytics in MindSphere,” says Stephen Bashada, executive vice president and general manager of Siemens MindSphere. “The combination of Siemens’ deep industrial domain knowledge with SAS’ deep analytics knowledge is a powerful step forward for IoT.”

Companies currently using both SAS and MindSphere will be able to port and deploy previously developed SAS models natively into MindSphere while new users will gain access to powerful analytics capabilities. 

“Siemens’ pedigree in innovative operational assets, software and processes is unmatched. Their commitment to digitizing the world’s industries provides a unique platform for IoT to realize its full potential through AI,” says Jason Mann, vice president of SAS’ IoT Division. “Our partnership can accelerate adopting the transformative value of IoT for our customers.”

Siemens’ MindSphere is the cloud-based, open IoT operating system that connects real things to the digital world through open connectivity. MindSphere also enables a partner ecosystem to develop and deliver new applications providing a basis for new business models. 

SAS AI and IoT technologies support diverse environments for IoT data at the edge or in the cloud, in motion or at rest. 

SAS advanced analytics algorithms capture and analyze large amounts of data gathered from industrial control systems and converge IT and OT worlds by using derived actionable insights to drive intelligent operational and business processes. SAS’ investment in IoT analytic open source compatibility allows data scientists to code in their language(s) of choice while relying on the resiliency and comprehensive scalability of SAS. 

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Sources: Press materials received from the company and additional information gleaned from the company’s website.

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