You would you like to gain deeper insights into your company's data? You would you like to improve and automate your processes, using statistical models?
We can support you!
We use artificial intelligence (AI) and machine learning (ML) to develop your data-driven products and solutions. These methods allow hidden patterns in your data to be identified and taken into account.
Not every problem can be solved by machine learning. Conventional software development often helps to reach your goal more effectively. But for you, which option is the better one? Should you use the traditional way to solve your problem, or should you prefer machine learning? We can help you to find out.
In order to obtain insights into your data, we conduct an exploratory analysis. As a result, we discover patterns or correlations and visualize the findings. If you do not have sufficient data, we can aggregate them from the web.
Our data science team has experience with a broad spectrum of statistical and machine learning models. We identify and test different models that might be suitable for your problem. We will explain the advantages and disadvantages of the different approaches and advise you in your decision-making.
We work with various open source machine learning (ML) frameworks, such as PyTorch, Tensorflow, Keras, Numpy, Scipy, Edward, PyMC3, Scikit-Learn, etc. ML models can be deployed via Docker containers. Integration can be done via a RESTful API or a front-end application.
ML models can be deployed as cloud applications (AWS, Azure, Google Cloud Computing).
Our data science team is experienced in the following domains:
We give practical workshops and training in the fields of data science, machine learning and deep learning: