New possibilities for interaction
Media Crawling & Analysis
We can scan across platforms and using text recognition in relevant digital libraries, (social) media and company portals. Domain-specific information is extracted by the AI. Appropriate visualization tools support the analysis.
A visual user interface to search, display and explore themes, trends, geo-specific patterns, correlations, and interrelationships. It can be adapted very precisely to the specific requirements of the user, depending on the information needs.
Advanced optimization of AI-assisted text analysis through semantic model management, user feedback input, and text annotations (additional text information such as annotations).
Have patterns in time series data recognized by AI (events, anomalies) and inspected and examined with visual interfaces.
Search in time series databases
Finding similar past results in very large databases to compare and learn from.
We give subject-matter experts the opportunity to pass on knowledge to the AI with little effort. It is then possible to understand and validate AI decisions. Reasons for incorrect results can be identified and eliminated.
Intelligent user guidance
A “user-aware” AI guides the user, depending on his/her analytical goals, through various data analysis steps
custom-tailored colLAborATiOn visualizaTion
Collaborative text annotation, discussion, and evaluation of results by multiple users. Design and implementation of specialized, use case and requirement-specific visualization components. Extensibility of the framework (Visualizer) supports rapid prototyping of visual analytics solutions.