Machine Learning Forum

Networking between industry and research

The goal of machine learning, a subfield of artificial intelligence, is not to program computers explicitly, but instead to enable them to learn independently from existing data. This is appealing to companies working e.g. in Industrie 4.0, production, or automotive sectors. They can use this method to collect data effectively, structure it, and use it to reach quick results and decisions.

The Machine Learning Forum project is a collaboration between various chairs at the Friedrich-Alexander-Universität Erlangen-Nürnberg and Fraunhofer IIS. Its primary aim is to promote the exchange of theoretical and practical expertise in the field of artificial intelligence.

At the initial Machine Learning Forum event on September 28, 2018 at Fraunhofer IIS in Nuremberg, we asked representatives of industry and research how beneficial they consider machine learning to be and what advantages they see in it for their companies.

 

Dr. Jens Barth, Project Manager, STABILO International GmbH

"We're teaching pencils how to read“

 

Dr. Holger Kömm, Director Data Science Lab, adidas Group

"It's about optimization and forecasts"

 

Thomas Albrecht, Lead Consultant, and Oliver Fuhrmann, Head of Business Development, Trevisto AG

"We get results faster than with traditional analytics"

 

Prof. Dr. Björn Eskofier, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg

"Self-learning systems adjust themselves to changing conditions"

 

Dr. Michaela Baumann, Data Scientist, and Stephan Pfadenhauer, Data Engineer, Nürnberger Versicherung

"Machine Learning improves our in-house processes "

 

Seminar Machine Learning

Fraunhofer IIS is offering a two-day seminar on machine learning in a professional environment to help industry in the use of machine learning.  

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