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We want to deal smartly with data by constructing specific algorithms and thereby create added value within our various fields of expertise.
We distinguish ourselves through an integral approach to machine learning, physical models, advanced measurement methodologies and data processing, with which high-quality solutions to complex issues can be found.
Thanks to the highly abstract and conceptual nature of machine learning and data science, the scope of application is very broad. Specifically, for example, we are engaged in research and development of self-learning controls of climate systems in buildings that optimize for comfort and energy use, where we use dynamic energy models. We develop measurement systems that by using machine learning algorithms can more accurately map noise, vibration or electromagnetic radiation with less physical equipment. We also use machine learning algorithms to predict and map wind effects around ships.
Whether it is energy, installations, noise, vibration or wind, the cross-fertilization between the expert knowledge of our consultants and machine learning and data science allows Peutz to offer high-quality innovations and advice.
