Industry

We have been developing data-driven innovations together with industry partners for over 20 years.
Industry

Economic environments, such as the automotive and aerospace industries, are distinguished by a large number of variants and development cycles, which become even higher due to increasing product digitization. At the same time, the machining and assembly processes generate more and more data, creating entirely new optimization potential. We support complex processes by means of data-driven tools and optimize the development and production of automotive and aerospace technologies.

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Industry

Generating and distributing energy plays a critical role in modern infrastructure, particularly in terms of climate and environmental protection. Sustainable use of energy and other resources is essential for achieving our ambitious environmental goals. Data-driven methods offer exciting new opportunities in this field, from predictive maintenance of electrical infrastructure to data-driven optimization of agricultural processes and digital twin development for waste management.

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Industry

When attempting to generate value via data-driven business models, enterprises in the finance and insurance sectors face particular challenges due to regulatory conditions. Simultaneously, traditional observation and evaluation models are put to the test due to an increasing shift towards digitalization in economic communication. We work together with companies in order to design data-driven products and assist them in testing alternative valuation models based on web data.

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Industry

The progress of digitization also extends to pharmaceutical product design: data-driven development revolutionizes new product implementation in terms of speed and quality. Processes based on data-driven artificial intelligence are key factors in this transformation. We offer support to medical technology and pharmaceutical companies along the way, from technology to a business model.

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Industry

Recent manufacturing facilities have increasingly more sensors and automation units that generate large amounts of data. This creates new opportunities for optimizing the manufacturing process globally. Once accomplished, new business models will emerge and commercialize the acquired data while maintaining confidentiality. Our data-driven methods combine analysis and simulations via digital twins, and our encryption methods enable data exchange between companies. We optimize complex logistical processes while considering millions of marginal conditions.

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Industry

Rapid progression in the field of data-driven artificial intelligence has created many new possibilities in software development. However, advanced methods, such as deep neural networks, are much more complex than traditional algorithms and require special considerations in terms of handling the underlying data. We develop advanced product features in close cooperation with software companies and train employees in implementing new techniques, securing access to data-driven technologies for software companies.

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Industry

The Worldwide Web’s unprecedented triumph and consumer-generated social media have led to a business model transformation in the publishing and communications sector. While in the past the focus was on generating, distributing and managing the content, it is now shifting towards knowledge-based services. Our search engines and recommendation systems collect, analyze and understand news and legal texts, especially those in German, and provide publishers and editorial teams with the necessary understanding of innovative product features.

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As a research enterprise with more than 190 current industry and scientific partners, we contribute to a continuous development and scientific insight implementation in the area of data-driven business and AI.

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Industry