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Frank Geissler, Sales Director at AIS Automation Software Systems, defines “digital twin” as a dynamic digital representation of an industrial asset, that enables companies to better understand and predict the performance of their machines and find new revenue streams, and change the way their business operates. The typical life cycle of equipment in manufacturing is outlined, and how it poses a challenge for OEMs. Ultimately, the Cloud offers new possibilities for OEMs, specifically through big data analysis, machine learning, and predictive maintenance. EquipmentCloud is introduced, along with its applications, infrastructure, connectivity, and benefits. From SEMICON Europa in November 2017 in Munich, Germany.

 

Keywords: Big Data, Machine Learning, OEM, Cloud, Cloud Computing, Connectivity