Intelligent Connectivity: Reliably Networked Networking matters: The basis for the Internet of Things is a reliable, secure and increasingly wireless network. Different, mostly mobile devices and components are networked, large amounts of data are transported quickly, safely and inexpensively – privately and in companies. We examine the quality of networks and distributed systems, plan and develop sophisticated and reliable communication solutions as well as their monitoring and management. So that things get safely online – trustworthy and reliable. Technologies & Methods:
Value Creation: Added Value Through Innovation
Data-driven innovations are changing the economy and society. They help solve problems, increase efficiency and develop new products and services. The Internet of Things, low-cost sensor technology, the generation of “digital natives” and a sustainable lifestyle are important drivers of innovation. We use effective methods to examine operational success factors, added value and strategies for IoT-based innovations for companies in different market segments. We support companies in the analysis of innovation potential and the selection, implementation and evaluation of innovative projects and business models.
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Mobility & Transport Analytics: Optimized Mobility of People and Goods
Understanding which movements take place where and how is a key prerequisite for optimizing personal and goods mobility. Through intelligent analysis processes, multi-sensor fusion, map matching or routing for high-precision maps as well as real-time processing, analysis and interpretation of high-resolution driving trajectories, we open up the potential of movement data – for optimized fleet control, traffic control or evaluation of infrastructure measures.
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User-Centered Movement Data Analytics
Motion is an omnipresent aspect of our lives and an essential component of innovations in the areas of health, sports and fitness. We analyze motion data from a variety of data sources. Using methods from signal processing, statistics and machine learning, we evaluate data quality, identify movement patterns and develop models. This detailed knowledge about the quality of movement enables novel applications for users – to increase health, performance, safety or the enjoyment of movement.
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