Networked value creation in the age of data and AI engineering
The rapid development of digitalization is significantly shaping industrial value creation and opening up new potential for innovative products, services, and business models. At the heart of this transformation are intelligent, networked systems that use data as a central resource and enable new forms of collaboration and value creation through the use of artificial intelligence, modern software architectures, and secure, distributed infrastructures.
The increasing complexity and interconnectedness of digital ecosystems present companies with the challenge of closely integrating a wide range of disciplines such as computer science, economics, and engineering. Our research and development division addresses these challenges with an interdisciplinary approach that focuses on the development, integration, and responsible use of digital technologies.
Our research focuses on the efficient administrative staff and use of data spaces (data management), the development and application of artificial intelligence and language processing (machine intelligence & natural language processing), the design and optimization of modern software solutions (Software Engineering & Software Systems), the development of distributed and scalable infrastructures (Distributed Systems & Parallel Computing), ensuring data protection and trustworthiness (Security, Privacy & Abuse Prevention), and the analysis and design of digital business models (Economics & Electronic Commerce).
With this broad range of expertise, we support companies in leveraging the opportunities of digitalization, developing innovative solutions, and securing their competitiveness in the age of digital transformation with sustainability.