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

HANNOVER, Germany, April 2, 2019 /PRNewswire/ -- 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 industry-leading 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 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 & 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.

"SAS is a recognized world-leader in advanced analytics, machine learning, and artificial intelligence. We are excited to leverage their analytics in MindSphere," said 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."

By intuitively applying AI and operationalizing its potential at scale, the partnership can drive a world class 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 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," said 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. It enables powerful industry applications and digital services to drive business success. MindSphere also enables a rich partner ecosystem to develop and deliver new applications providing a basis for new business models. With its rich APIs, MindSphere applications can be quickly and easily developed by Siemens, its partners, or directly by customers. In combination with Siemens' industry-leading 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 -driving operational efficiency and innovation.

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.

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. 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.

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. (GMT+1).

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Siemens Digital Industries Software is a leading global provider of software solutions to drive the digital transformation of industry, creating new opportunities for manufacturers to realize innovation. With headquarters in Plano, Texas, and over 140,000 customers worldwide, Siemens Digital Industries Software works with companies of all sizes to transform the way ideas come to life, the way products are realized, and the way products and assets in operation are used and understood. For more information on Siemens Digital Industries Software products and services, visit www.siemens.com/plm.

Siemens Digital Industries (DI) is an innovation leader in automation and digitalization. Closely collaborating with partners and customers, DI drives the digital transformation in the process and discrete industries. With its Digital Enterprise portfolio, DI provides companies of all sizes with an end-to-end set of products, solutions and services to integrate and digitalize the entire value chain. Optimized for the specific needs of each industry, DI's unique portfolio supports customers to achieve greater productivity and flexibility. DI is constantly adding innovations to its portfolio to integrate cutting-edge future technologies. Siemens Digital Industries has its global headquarters in Nuremberg, Germany, and has around 75,000 employees internationally.

Siemens AG (Berlin and Munich) is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality for more than 170 years. The company is active around the globe, focusing on the areas of power generation and distribution, intelligent infrastructure for buildings and distributed energy systems, and automation and digitalization in the process and manufacturing industries. Through the separately managed company Siemens Mobility, a leading supplier of smart mobility solutions for rail and road transport, Siemens is shaping the world market for passenger and freight services. Due to its majority stakes in the publicly listed companies Siemens Healthineers AG and Siemens Gamesa Renewable Energy, Siemens is also a world-leading supplier of medical technology and digital healthcare services as well as environmentally friendly solutions for onshore and offshore wind power generation. In fiscal 2018, which ended on September 30, 2018, Siemens generated revenue of EUR83.0 billion and net income of EUR6.1 billion. At the end of September 2018, the company had around 379,000 employees worldwide. Further information is available on the Internet at www.siemens.com.

SAS is the leader in the advanced and predictive analytics category, with a market share more than twice that of the next closest competitor. Through innovative software and services, SAS empowers and inspires customers with the most trusted analytics. SAS embeds AI capabilities in its software to deliver more intelligent, automated solutions that help boost productivity and unlock new possibilities. From machine learning, deep learning, computer vision, and natural language processing (NLP) to forecasting and optimization, SAS' AI and IoT technologies support diverse environments and scale to meet changing business needs. SAS is used at more than 84,000 sites in 145 countries worldwide, including 92 of the top 100 companies on the Fortune 500® list. Our vision is to transform a world of data into a world of intelligence. To learn more, visit www.sas.com.

Note: Siemens, MindSphere and the Siemens logo are trademarks or registered trademarks of Siemens AG. All other trademarks, registered trademarks or service marks belong to their respective holders.

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SOURCE Siemens Digital Industries Software