Shortfacts - April 2019

Optimization of business partner data

The start-up recogn.ai developed an adaptive machine solution on behalf of Uniserv. This can merge unstructured and semi-structured business partner data from various internal and external sources - and generate added value from the data based on this. Until now, companies have not been able to do this, or only at great expense. Data preparation and merging is often still done manually. To make this task easier for organizations, the start-up uses various artificial intelligence technologies and machine learning. The solution from recogn.ai relies on a combination of different neural networks. These are specialized in processing text and semi-structured data. Cloud and search technologies for machine learning, data acquisition and data exploration are also used. In this way, the technology is able to make even unstructured business partner data sets usable for marketing measures, among other things. The approach developed by recogn.ai offers sufficient flexibility to train neural networks for data management based on company data. The solution can also learn from feedback from employees who are not data experts. This allows companies to act independently of external data scientists. The start-up now wants to expand its solution together with Uniserv.