Machine Learning

Data is a valuable raw material that needs a structured approach to be tapped as an economic asset. Alongside you, we develop tailored strategies to leverage potential in existing and future data – holistically in terms of technology, processes, and even change management.

There are many use cases in machine learning and the possibilities are almost unlimited. We provide clarity and help you find the use cases that bring the most value to your company.

Hardly any technology is developing as quickly as machine learning. Ideas that did not even seem feasible yesterday are already reality today. We will guide you through the variety of new possibilities between research, development, and application and identify the right technologies for your goals.

Many companies don’t fail at implementing initial proofs of concepts in machine learning, but when they try to further develop the proof of concept into a productive solution that can be operated robustly. In this step, we help you to find sustainable solutions to operate current and future use cases safely and cost-efficiently.

Challenges in machine learning lie not only in the development and launch of use cases, but especially in their long-term operation. In addition to training and further development, we offer support and can even take over operation completely. 

Machine learning applications can pose certain ethical risks, especially when personal data is processed or decisions made by a machine learner directly affect human beings. Responsibility is always our top priority and we provide support from evaluating individual use cases to developing entire ethics guidelines.