4/29/2019 | 1 MINUTE READ

Siemens and SAS Deliver Open Source Streaming Analytics

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Siemens Digital Industries Software and SAS partner to help companies create new IoT edge and cloud-enabled solutions by applying SAS and open source streaming analytics through Siemens’ MindSphere.

Siemens Digital Industries Software and SAS partner to 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 industry-leading SAS advanced and predictive analytics in MindSphere, which can accelerate the adoption of machine learning and artificial intelligence (AI) in internet of things (IoT) environments. Increasing productivity and reducing operational risk through powerful predictive and prescriptive maintenance and optimized 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 and utilities, smart cities, transportation and automotive. The partners expect the solutions to be generally available later this year.

MindSphere is the cloud-based, open IoT operating system that connects real things to the digital world through open connectivity. With its rich APIs, MindSphere applications can be quickly and easily developed by Siemens, its partners or directly by customers. 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.

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 behavioral patterns, develop fast and accurate predictions and make optimal decisions with greater confidence while reducing data movement, latency and storage costs. 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. Data scientists can code in their language(s) of choice, and customers can see patterns and trends through data and extract insights.

Siemens and SAS will exhibit together in the MindSphere Pavilion (Booth #D35 – Hall 9) during the Hannover Messe 2019 event. Visitors to the exhibit will see demonstrations of streaming analytics used for remote asset performance management. Gerhard Altmann, SAS Global Manufacturing Industry Senior Director, will present more details about edge-to-cloud streaming analytics in the booth on Wednesday, April 3, from 2 to 3:30 p.m.

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