From concept to prototype
Tailor-made, robust data mining and machine learning prototypes are developed in the data lab. These prototypes can later be transferred into business operations.
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.
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.
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.
The result is a validated Data Mining/Machine Learning prototype that generates the first benefits for its users.