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Author

Wolfgang Boos

Tecan Trading AG

Dipl.-Ing. (FH) Wolfgang Boos

Wolfgang Boos, born in 1965, initially trained as an Information Technician before studying Technical Computer Science at Flensburg University of Applied Sciences (Germany), graduating with a diploma degree. He subsequently worked as a software developer at the Forschungszentrum Jülich, Institute of Biotechnology 2, where he was responsible for the software that controls and monitors bioprocesses. Afterwards he worked for Gretag Imaging AG and Imaging Solutions where he was responsible for the software architectures of the high-performance systems and the distributed server applications. In March 2007 he joined Mettler-Toledo as Head of Software Development and was responsible for the software development department within R&D and for external partners (offshore and nearshore). In this role he was also responsible for IT enterprise architectures in the production environment and in the service area. In 2017 he changed within Mettler-Toledo to become Digital Solutions Manager and developed new digital solutions and concepts. Since April 2020, he has been working for Tecan Trading AG as Program Manager Digitalization to further advance the strategic digitization projects.

Leitmotif

Be open, every opinion is important.

Focus

Wolfgang Boos focuses on the strategic development of concepts, evaluation and realization of projects in the field of digitization. Design of enterprise architectures and the integration into IT backend systems using SOA and corresponding device integration are the basis for implementation. At the same time, it requires a constant analysis of new technologies in order to be able to evaluate the potential for laboratory applications.

Facts, background information, dossiers

  • software development
  • digitization
  • bioprocess control
  • bioprocess monitoring
  • IT enterprise architectures

Other articles by this author

All articles

Securing data jewels within the data lake

In the field of data analytics and machine learning, data quality and the “right” data architectures are the key to success. Data governance enables organizations to establish important (…)

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    Securing data jewels within the data lake

    In the field of data analytics and machine learning, data quality and the “right” data architectures are the key to success. Data governance enables organizations to establish important elements and processes for generating value-added information from data. more

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