Machine learning offers a good approach to taking advantage of the ever-increasing amount of data. We see great potential in this area and therefore rely on this technology.
The aim of machine learning is to intelligently link data, identify correlations, draw conclusions and make predictions. For this purpose, algorithms are developed which search for patterns in large amounts of data. The computer should be able to use this knowledge. Therefore, the algorithm can gain experience and use it.
There are almost no limits to the advantages of machine learning. In the web based tool Casematch, this technology is already used to support the coding in the health care sector. The aim is to use existing data as efficiently as possible and to evaluate this information in an interpretable way.
This data-driven approach is central to our work. Hence continuing education and open mindedness is essential for us. This area is developing incredibly fast and requires constant reorientation, which is why we rely on an innovative and interdisciplinary team.
The focus is on the following technologies and supporting processes:
Models with a deep, hierarchical structure to reduce the complexity of data.
Natural language processing enables communication between humans and computers on the basis of natural language.
In close cooperation with the users, we develop agile software solutions.
We implement especially on the web modern and user-friendly platforms and services as an interface to our machine learning systems.