Building the digital twin of long lifed complex equipments which are in
use at a remote customer site is a challenging task. We report on a
project at Siemens Corporate Technology which addresses this problem for
industrial turbines using a knowledge graph.
Smart Textiles are clothes with an extended range of functions, e.g., interaction with the environment. They open up new markets and business models in sports, health, home and living, mobility or building applications, especially in combination with digital networked services. However, small and medium enterprises (SMEs) in the electronics and textile industries hesitate to accept the complexity of the combined value chains.
We describe a real world Intelligent Customer Support Organization that uses graph based technology for taxonomy driven entity extraction, speech recognition, machine learning and predictive analytics to improve quality of conversations, increase sales and improve business visibility.