Your business is characterised by the recording and processing of large amounts of data using sophisticated sensors, data storage systems and visualisation tools. Your customers value the robustness of your systems and heavily rely on the high level of availability that your organisation is able to provide.
Your customers frequently require your consulting services in order to make sense of their data. Unfortunately, providing precise insights from well-organised data to your customers in consulting services is not the core area of your business and is still a tedious, difficult and troublesome process for your organisation.
Our AI-based EDI hive Data Discovery Suite significantly reduces the efforts needed for gaining, sharing and providing well-organised, clearly structured key insights for your customers and within your organisation. It empowers you to quickly gain new insights from known as well as unknown data using a powerful combination of Automated Machine Learning Algorithms (autoML).
Upload existing data or connect your databases to visualise, analyse and share your raw data.
Automatically detect the relevant properties inside a raw data set.
Automatically detect and visualise unknown cause & effect relations in data.
Formalise your expert knowledge to pre-calibrate AI algorithms and share the experts' knowledge in a controlled manner.
Virtual certification of automated driving functions – German “TÜV”.
Proactively determining the optimal traffic control strategy that is accepted by drivers before critical emission thresholds are reached.
Prediction of tire ware rate based on a rubber wear model and a tire FE Model.
Prediction of vehicle driving characteristics in various driving dynamic contexts based on the significant tire properties.
Minimising drag by automatically determining the optimal wingtip configuration.
Reduction of NOx emission caused by burning fossil fuels for power generation.
Predictive power plant control through an AI-based bunker management for the accurate control of defined temperatures with variable fuel composition, e.g. household waste in a waste incineration plant.
The innovative bioliq® process (Biomass-to-Liquid) can be controlled through AI-applications with EDI's hybrid models. As a result, there is no need for the plant operator to know the complex simulation models to control the plant in their energy and resource optimum.
A central ability of artificial intelligence (AI) is to identify similarities. With our semantic web solution, you can get started right away.