Machine Learning for industry#
In addition, with the new Machine Learning Research Center, for example, Fraunhofer is addressing current industrial challenges that enable the strategic integration of transparent and resilient artificial intelligence solutions into production, business and sales processes.
Machine Learning (ML) is a key technology for cognitive systems, intelligent products and digital assistants and plays a decisive role in the digital transformation of our economy and society. In recent years, considerable progress has been made, not least because of the plentiful availability on the internet of data annotated with explanations and add-ons. However, in industrial practice, existing ML processes often reach their limits. This because data of relevance to industry are mostly neither freely available nor extensively annotated, and companies can only begin using cognitive systems to a limited extent. What is needed are processes which integrate expert knowledge where data and artificial intelligence alone are not sufficient.