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.


Ten German organisations from business, science and the media industry, including the German Research Center for Artificial Intelligence (DFKI), are…

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Einladung zur Online-Auftaktveranstaltung am 27. Januar 2022. Das neu gegründete Regionale Zukunftszentrum für KI und digitale Transformation Saarland…

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New standard sets out requirements for developing a business model for a data ecosystem in the food industry.

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Mobile reconstruction and analyze of 3D human body models

Individual anthropometric measures are important for different applications, such as health care, ergonomics, clothing industry, etc. This data can be extracted automatically from 3D body scans. In…

Living Labs in der Green Economy: Realweltliche Innovationsräume für Nutzerintegration und Nachhaltigkeit

Die wesentlichen Ziele des Verbundprojkets sind:

- Entwicklung einer Methodik für Nutzerintegration und Nachhaltigkeits-innovation im Living Lab, u.a. zu Rebound-Effekten und Obsoleszenz,

- …

QT21: Quality Translation 21

A European Digital Single Market free of barriers, including language barriers, is a stated EU objective to be achieved by 2020. The findings of the META-NET Language White Papers show that currently…

Cracking the Language Barrier: Coordination, Evaluation and Resources for European MT Research

The European machine translation (MT) research community is experiencing increased pressure for rapid success – from the legal and political frameworks and schedules of the EU, such as the Digital…


The objective of FREME is to build an open innovative commercial- grade framework of e-services for multilingual and semantic enrichment of digital content. FREME will empower digital content managers…

Strategische Analyse heterogener Massendaten im urbanen Umfeld


  • Johann Wolfgang Goethe Universität Frankfurt
  • USU Software AG
  • YellowMap AG
  • disy Informationssysteme GmbH
Future Internet - Core

On the first of September in 2014 the forward-looking project “Future Internet - Core” started with a total of 31 partners from 8 European Countries and Israel. The project is funded by the European…

Early Trend Radar

Identifying and monitoring trends at a global level is crucial for successful innovation and marketing processes. The increasing amount of potentially relevant topics and the speed of their…

Quality Translation by Deep Language Engineering Approaches

In theory, machine translation (MT) should work especially well on a deep (semantic) level of language processing, where one would expect to be much less confronted with differences between languages…

OSMOsis applications for the Sensing Enterprise

The main objective of the OSMOSE project is to develop a reference architecture, a middleware and some prototypal applications for the Sensing-Liquid Enterprise, by interconnecting Real, Digital and…

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz