Siemens and SAS partner to deliver AI-embedded IoT analytics for edge and cloud

Siemens Digital Industries SoftwareandSAShave announced a partnership intended 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 SAS predictive analytics in MindSphere, which can accelerate the adoption of machine learning (ML) and artificial intelligence (AI) in Internet of Things (IoT) environments. These solutions are intended for customers working in a range of industries including manufacturing, healthcare, energy and 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. The partners expect the solutions to be generally available later this year.

By applying AI and operationalizing its potential at scale, the partnership can drive an end-to-end solution framework for 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 analytics capabilities.

Siemens’ MindSphere is a cloud-based, open IoT operating system that connects real things to the digital world through open connectivity. It enables industry applications and digital services to drive business success. MindSphere also enables a partner ecosystem to develop and deliver applications providing a basis for new business models. With its APIs, MindSphere applications can be developed by Siemens, its partners, or directly by customers. In combination with Siemens’ approach to holistic digital twins, companies can leverage MindSphere to close the loop through product ideation, realization and utilization to seamlessly integrate IoT data throughout the value chain.

SASAI 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 decisions with greater confidence.

SAS analytics algorithms capture and analyze 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.