Persistent Systems will provide custom analytics that utilise MindSphere Analytics and machine learning (ML) service application programming interfaces (APIs)
Persistent Systems, a leading developer of software products and solutions, announced that it has joined MindSphere Partner Program of Siemens to provide its Industrial Internet of Things (IIoT) solutions.
The company will provide MindSphere solutions for smart energy management, overall equipment effectiveness (OEE) and other related solutions to its manufacturing clients in the Asia Pacific (APAC) region and North America.
In addition, Persistent Systems will provide the customers a fast track to remote management and connectivity for machines and programmable logic controller (PLC) assets through the MindSphere ‘Connect and Monitor’ integration solutions. The company will also provide custom analytics that utilise MindSphere Analytics and machine learning (ML) service application programming interfaces (APIs).
Benefits for clients
Commenting on the development, Sanjeev Srivastav, General Manager – Industrial and IoT Practice, Persistent Systems, said, “Aside from the benefit of working with a partner like Siemens with a huge installed base of industrial automation controllers, MindSphere can help reduce the amount of time it takes for us to develop applications for our clients, while retaining the option to develop related services on the cloud services from Amazon Web Services (AWS) and Microsoft Azure, where Mindsphere is available.”
Florian Beil, Head – Sales for MindSphere, Siemens PLM Software, commented, “Persistent Systems has deep domain expertise in IoT, analytics and AI/ML and is well situated to deliver MindSphere solutions to firms with complex industrial operations in Discrete and Process Manufacturing sectors. We look forward to collaborating with Persistent Systems to help our joint customers achieve their goals.”
Siemens’ MindSphere is the cloud-based, open IoT operating system that connects products, systems, plants, and machines, allowing businesses to leverage the wealth of data created by the IoT with advanced analytics.