Eisenmann will actively shape the future of Industry 4.0 through "MindSphere World"

Date: 26/01/2018
Autore: Redazione
Categorie: Altre news

Plant engineering specialist Eisenmann has joined forces with Siemens and 17 further partners within MindSphere World, an association dedicated to establishing the cloud-based, open operating system MindSphere as a central IoT platform around the globe. The move underlines Eisenmann's innovation leadership in the sphere of industrial IoT cloud computing.

The MindSphere World association has been established by 19 founding members, including Eisenmann, Siemens, Kuka, Festo, Trumpf and Rittal, with the aim of building a world-leading IoT ecosystem on the basis of MindSphere, an operating system created by Siemens. The inaugural meeting of the association took place in Germany's capital, Berlin, on January 23. Its mission is the collaborative development and enhancement of IoT solutions based on MindSphere, and to serve emerging digital markets. As Bruno Geiger, COO/CTO at Eisenmann, and member of the MindSphere World management board, explains: "We believe IoT connectivity has huge potential for value-added. As a founding member, we will make our extensive experience and expertise in the Industry 4.0 and digital transformation space available to the MindSphere community." The shared skillset and broad portfolio of MindSphere World partners will open up entirely new possibilities for user organizations worldwide. Dr. Matthias von Krauland, CEO at Eisenmann, defines Industry 4.0 as "the ideal combination of flexible hardware, digital services and intelligent software. Together, they are the basis for connected production within smart factories." By leveraging the MindSphere platform and the powerful functionality of E-MES, Eisenmann's production control system, customers of the international plant engineering enterprise will be empowered to digitally connect their production systems across the globe. This will give them unprecedented transparency across manufacturing, quality and maintenance. In conjunction with big-data analytics, this will deliver revolutionary insights, and allow significant efficiency gains.