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Faculty of mechanical engineering
Studierende sitzt am Arbeitsplatz und schaut auf den Laptop. © Aliona Kardash​/​TU Dortmund

Combined presentation of IPS and Miele at Machine Learning Week 2022

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Foto einer Präsentation in einem Konferenzraum. Zwei Personen, ein Mann und eine Frau, stehen vorne und halten eine Präsentation. Beide tragen Geschäftskleidung. Der Mann spricht und gestikuliert, während die Frau neben einem Podium steht. Hinter ihnen ist eine große Leinwand, auf der eine Folie mit einem Bild eines Tablets und einem Waschmaschinenbild sowie Textinhalten zu sehen ist. Im Vordergrund sitzen mehrere Zuhörer an Tischen und verfolgen die Präsentation. Der Raum ist modern eingerichtet und gut beleuchtet. © IPS​/​TU Dortmund
In the research project AKKORD, the IPS is working on a modular solution for the application of data analysis in the industrial environment. Together with research partner Miele, an interesting part of this project was presented at the Machine Learning Week 2022 in Berlin.

In AKKORD's Use Case 2, the IPS is working with Miele and RapidMiner to develop a holistic and networked reporting and analysis tool for quality management in this context. Miele uses individual modules of the AKKORD analysis platform for different analysis questions. This was the focus of a presentation at this year's Machine Learning Week in Berlin. In their case study in the track "Predictive Analytics World - Industrie 4.0", Sibylle Legner (Miele) and Marius Syberg (IPS) showed how the implementation of the AKKORD ideas was carried out in an industrial use case, providing insights into the overall context of quality management at Miele and challenges in field data management. The research project itself was also presented to numerous interested people.

Two other use cases of the AKKORD project were also able to present their results. Numerous other interesting presentations and keynotes as well as an intensive exchange with other users of artificial intelligence in various industries rounded off a successful event. We would like to thank the organizers of the Machine Learning Week for a great conference and look forward to participating in future events.

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