Siemens Digital Industries Software and SAS have announced a new partnership 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.
Increasing productivity and reducing operational risk through predictive and prescriptive maintenance and optimised asset performance management, are just some of the ways these new solutions can benefit customers working in a range of industries including manufacturing, healthcare, energy & utilities, smart cities, transportation and automotive.
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.
Stephen Bashada, Executive Vice President and General Manager of Siemens MindSphere said, “SAS is a recognised world leader in advanced analytics, machine learning, and artificial intelligence. We are excited to leverage their analytics in 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.
Peter Pugh-Jones, Head of Technology, SAS added, “Siemens remains unmatched when it comes to revolutionising operational assets, software, and processes. Siemens is committed to digitising the world’s industries and provides a unique platform for IoT to realise its full potential through AI. This partnership can accelerate adoption of the transformative value of IoT for our customers.”
SAS AI and IoT technologies support diverse environments and scale to meet changing business needs, for IoT data at the edge or in the cloud, in motion or at rest. With SAS IoT Analytics solutions, business and technology leaders can understand machine operational and behavioural patterns, develop fast and accurate predictions, and make optimal decisions with greater confidence while reducing data movement, latency and storage costs.
SAS advanced analytics algorithms capture and analyse 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. By fundamentally changing the way IT and OT handle data and extract insights, customers can see patterns and trends they would never have seen otherwise. SAS IoT Analytics with embedded AI is a key differentiator for customers to unlock real value from data.