Data Infrastructure

Powerful and scalable applications

Initial situation

Your AI product works stable and generates knowledge advantage, increased efficiency or valid statements about future developments. However, every data science solution is only as good as the technical environment in which it is used. With a precisely coordinated data infrastructure you will get the best out of the new AI solution. We will show you how.

Step by Step

1.

At first, we define hypotheses for your use case and then analyze your data. Based on your business-process-driven use case we develop a data-analytical concept.

2.

Then we set up a test environment with your data and investigate your use case. At this point, workshops and hackathons are the established means during which we find out if your use case can be realized.

3.

We implement – depending on the need – AI, deep/machine learning, real-time/predictive analytics. Like this you receive a proof of concept as well as validated data.