Schaeffler And IBM Enter Strategic Partnership

Written by Mark Johnston. Posted in Business News Global

0009E743 Gruppenbild Glasscar webHerzogenaurach/Ehningen, Germany: The global automotive and industrial supplier Schaeffler has chosen IBM as its strategic partner for its digital transformation. IBM will act as the technology provider, consultant and development partner for a digital ecosystem to support Schaeffler in the integration of its mechatronic components, systems and machines into the rapidly expanding world of the ‘Internet of Things’ (IoT), as well as implementing market ready new business models based on digital services.

As a first milestone the two companies have built a digital platform for all of Schaeffler's added-value digital services from October this year.

Schaeffler is working closely with IBM to develop innovative solutions for its own transformation and for customers using design thinking and agile development methodologies.

An open, digital ecosystem is being built to form an environment in which the company can work smoothly with its customers and partners, with the digital platform as the technical foundation.

"The joint implementation of Schaeffler’s digital agenda is the perfect fit to leverage and promote our new cognitive IoT capabilities for the manufacturing sector," said Ivo Koerner, Board Member Sales, IBM Germany. The base will be a global, hybrid cloud infrastructure using IBM’s application platform “Bluemix" with Watson IoT to create differentiating applications and mobile apps for the Internet of Things.

Schaeffler’s components such as bearings or clutch release systems are used in important parts of machines and vehicles which produce critical information about condition and movement. The company has put significant investment into research and development in recent years and has incorporated sensors, actuators and control units with embedded software into these products. With this, it is now possible for these parts to collect and process valuable data on the condition of a machine and then convert this data into added-value services.

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