Transformation of data into information

We learned from the directors of Czech manufacturing companies that they are currently most interested in working with data in the field of digitalization of production. Mainly, in the ability to read the data correctly and use it for effective managerial decision-making.

If you are also interested in the topic, join the professional seminar

Digitization of Production:

Transformation of Data into Information.

Wednesday, 14 April 2021, 14:00 – 16:00

You can join the seminar and discuss online via MS Teams at this link:

The seminar will be held in Czech language only.

Experts from the Czech Institute of Informatics, Robotics and Cybernetics, CTU in Prague (CIIRC CTU) will present how CIIRC CTU helps companies in their efforts to use digitization tools to streamline the operation of their company.

The seminar is organized by CIIRC CTU in cooperation with the National Center for Industry 4.0 (NCP4.0) within the “DIH Community Days” of the DIH-World project. The topics are the subject of a solution in the Prague Testbed for Industry 4.0, which is part of the international center of excellence RICAIP, within the EIT Manufacturing and Cluster 4.0 projects.


14:00 – 14:05

Opening – DIH-World

14:05 – 14:35

Digital maturity assesment

Lubomír Kristek, NCP4.0

14:35 – 15:20

Data mining from machines and their conversion into information – use cases

Pavel Burget, Testbed for Industry 4.0, CIIRC CTU

Petr Kolář, Industrial Production and Automation, CIIRC CTU

15:20 – 15:50

Use of machine learning methods to replace the routine work of machine operators

Petr Kadera, Intelligent Systems for Industry, CIIRC CTU

15:50 – 16:00

International initiative for secure sharing of industrial data

Lubomír Kristek will present an independent expert methodology that will enable companies to analyze the level of maturity from the point of view of process digitization and established technology. Explain important aspects for the choice of the final solution, which will be feasible in practice and economically advantageous. It will point out the most common mistakes made by manufacturing companies in the implementation of digital technologies in practice.

Pavel Burget and Petr Kolář will present how in practice companies can test data collection and process the obtained data into meaningful information in test conditions in Testbed for Industry 4.0 CIIRC CTU before implementing the necessary technologies in their company. They will present several successful examples of data collection and evaluation from practical machines.

Petr Kadera will explain how it is possible to use machine learning methods to replace the routine work of operators and achieve a significant streamlining of production. It will acquaint you with the possibilities of data sharing in an international environment while maintaining their sovereignty and security.

Transformation of data into information