Smart Systems Hub
Dr. Uwe Crenze
"Enabling Smart Data: Intelligent Information Access supported by Machine Learning"
The steadily advancing digitization of business processes, e.g. in personnel administration, product management, production and customer support, allows for complex decision-making processes to become more sustainable on the basis of comprehensive data. Not least due to ever-shorter product cycles, enterprises are in need for cross-department and system-wide analyses for the discovery of interrelations. However, data-driven business processes require relevant data to be available at decision-making levels, so that they can be analyzed in the context of the decision-making process.
A modern information management organically links known facts with automatically determined information aspects. Deep Learning on the basis of neural networks holds great potential for the automatic analysis of digital contents. Thus, combined with other analytical methods and the power of today’s hardware, it becomes increasingly possible to implement economic solutions to support data-driven business processes. The product intergator by interface projects GmbH from Dresden/ Saxony is such a solution. Based on machine learning, intergator is an intelligent cross-system search engine, knowledge management and analytics platform.