RAKI is developing novel methods to develop scalable, comprehensible machine learning methods with "humans in the loop". The project focuses on scalable AI-driven optimisation of the configuration and operation of industrial plants and the necessary production logistics.
Project description
The project focuses on scalable AI-driven optimisation of the configuration and operation of industrial plants as well as the necessary production logistics.
Distributed implementations enable the processing of large amounts of data for the automatic generation of explanations. The development and application partners elevait and Siemens plan to use essential parts of the RAKI framework after productisation into their platforms CBR and Mindsphere. The result of RAKI forms the basis for novel data products such as AI-driven interactive configuration software for industrial plants, which enables scalable development of smart services in industrial production.
