Anwendungsfelder

Knowledge & Business Intelligence

More and more complex business processes generate more and more data. Intelligent and professional processing of the flood of data can give companies a decisive competitive advantage. Business success in sustainable management is therefore determined decisively by the effective handling of data and knowledge and their application in the relevant business processes. We develop and research the latest artificial intelligence technologies for the targeted and systematic exploitation, distribution, archiving and communication of knowledge, data and information. Automated and learning assistants help to structure work processes and proactively provide relevant information in all business areas. Thus, the growing variety of information can be controlled intuitively, purposefully and effectively at any time and anywhere and can be used for decision-making.

News

Lea Mayer, Nijat Mehdiyev, Oliver Gutermuth, and Prof. Dr. Peter Fettke won the first place with their contribution "Responsible AI – The use of...

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No raw materials due to the corona pandemic, the collapse of supply chains due to low water in rivers, or a production stoppage caused by a wearing...

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• Erfolgreicher Abschluss des vom Bundesministerium für Bildung und Forschung (BMBF) geförderten Forschungsprojektes

• Pionierleistung zum Einsatz...

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Projects

Sustaining Grass-roots Organizational Memories: Methods and Effects of Applying Managed Forgetting in Administrative Corporate Scenarios

Partners

Universität Hannover (Gottfried Wilhelm Leibniz Universität Hannover)

Pädagogische Hochschule Ludwigsburg (Fakultät III: Sonderpädagogik Institut für Sonderpädagogische Förderschwerpunkte)...

EU Council Presidency Translator

Language is an essential part of our lives – we use it to share information, to describe our feelings, to discuss with others or to pass on knowledge to the next generations. It is a vital component...

Explainable AI and Neural Networks

Despite astonishing progress in the field of Machine Learning (ML), the robustness of high-performance models, especially the ones based on Deep Learning technologies, has been lower than initially...

Smart Data Innovation Challenges

Das Konzept der Smart Data Innovation Challenges (SDI-C) erweitert das Smart Data Innovation Lab (SDIL) um eine wichtige Komponente. Geforderte schnellere, innovative Forschung kann damit...

Platform for Analytical Supply Chain Management Services

The goal of the PLASS project is the development of a prototypical B2B platform for AI-based decision support for supply chain management. The focus is on the automatic recognition of...

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz