What if the work of all press offices and publishers could be regularly evaluated?

 

What if content that is published decentrally and is difficult to keep track of could be converted into structured data? And if relationships and trends could be identified - with the option of comparing or linking them with your own data? It would be perfect fodder for data scientists.

In many areas, data science is the key to efficiency and automation, but also to measuring results, objective analyses and strategic decisions.

 

Collecting, analyzing, linking and using data in a targeted manner - that is the pulse of our time. In research projects, we have developed technologies that convert decentrally published, unstructured news content into usable data.

 

Our “News-Extracted Evolving European Datasphere” (NEEED) forms the basis for numerous applications in the field of data science and enables our customers to take a data-based approach to information, communication and knowledge management.

 

Our AI experts and data scientists work in this business area to support our customers' requirements and ensure the optimal connection and use of data.