Siemens and Atos announce today within the framework of their strategic digital alliance since 2011, their reinforced cooperation to offer digital innovations for manufacturing companies: Atos prepares to offer ready-made applications as well as all integration, infrastructure and security services necessary to build customer-specific applications on the MindSphere platform. MindSphere has been designed as an open ecosystem to optimize plant performance by collecting and analyzing large datasets in industry. It forms the basis for applications and data-based services from Siemens and third parties, such as predictive maintenance, energy data management or resource optimization. For example machine manufacturers can use MindSphere as a platform to monitor machine fleets for service purposes throughout the world, reduce their downtimes and consequently offer new business models.
Leveraging on the joint R&D investments with Siemens on Cloud and Data Analytics, Atos will be one of the first MindSphere partners delivering a broad set of IT and digital services. Atos offers MindSphere customers a structured approach; from quick-start services with first real results to production readiness of MindSphere applications, in order to accelerate the prototyping, validation and deployment of Mindsphere applications through automated and predefined use cases.
Philippe Miltin, Atos Group Senior Vice-President for Manufacturing, Retail and Transportation said: "Thanks to this close cooperation between a global leader in IT services and a global leader in manufacturing, we will be jointly providing our clients with a better service and helping them along their journey towards digital transformation. We are convinced and excited that all our manufacturing customers will benefit from this new competitive advantage."
Ralf Michael Wagner, Siemens AG, Head of Plant Data Services, said: "Atos and Siemens have been partners since 2011. With the MindSphere agreement we intensify our collaboration and will be able to support our customers in getting value out of the data that is generated by their industrial assets."
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