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.
Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)