Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS
Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS

We help you to optimally use data and knowledge as a basis for digital value creation.

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Enterprise Information Integration

We develop technologies for the setting up of protected data spaces. It is not just the business community but society as a whole who can benefit from easier access to Artificial Intelligence (AI) applications, data, resources and infrastructures. Data spaces facilitate a fair, secure and transparent exchange of data.

We are developing technology cores which can be used to package Machine Learning tools into software containers which make using infrastructures such as these as easy and as flexible as possible. The containers can be operated in a variety of computing environments with very little effort and are easily scaled to different application scenarios.

Containerized software means we are also able to use hybrid Machine Learning processes and can link data-based and knowledge-based methods in one joint application package. Our architectures also support the automated deployment, scaling and administration of containers.

We have successfully used this technology in research and development projects, in laboratories for training courses and within experimental environments for our customers and partners. We have set up cooperative networks such as the "Fraunhofer-Allianz Big Data und Künstliche Intelligenz", the "International Data Spaces Association" and the "GAIA-X Foundation".

Portfolio of services

We support you with the introduction and optimization of data-driven business models. We generate analyses and feasibility studies and help with accessing and integrating knowledge and data sources. We develop infrastructures which make it possible to standardize the exchange of data and knowledge beyond corporate boundaries. Our solutions have already been successfully put into practice across many commercial sectors including the automotive and media industries as well as in manufacturing.

Data integration and modeling of information

Structured and automated data integration in distributed data ecosystems based on open standards

Knowledge graphs for intelligent services

Knowledge graphs used for company-specific and company-wide information

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Secure data exchange in data spaces

Interoperable data exchange solutions exploiting international data spaces and other data ecosystems

Highlights

Reference architecture for secure data spaces

We are cofounders of the Germany-wide "Industrial Data Space" initiative, now operating worldwide as the "International Data Spaces Association". Our aim is to make it possible for large multinational corporations as well as small and medium-sized companies to exchange data securely and easily throughout their organization. Our scientists have not only played a vital part in developing the reference architecture and information model for data spaces but also helped turn them into technologies and components.

International Data Spaces

Vocabulary-based data integration

We are now in an age when, whatever the industry, every single business process is digitalized. Just-in-time production and mass production (mass customization) means enormous amounts of data are being generated faster than ever before. Unsurprisingly, the number of business partners involved also increases at a similar pace due to ever increasing specialization and the outsourcing of contracts. Data management must adapt to these trends: The quality of data must be guaranteed as it is increasingly considered a strategic resource.

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Data integration for automotive suppliers

We have worked with large corporate suppliers to the automotive and mechanical engineering industries to integrate their machine sensor data with contract data from their production management systems. We have combined this with data from other sources and prepared the results for intelligent analyses. When establishing a price for manufacturing orders one business objective was to ensure all incidental energy costs were included.