DATATRONiQ GmbH

Jürgen Walter

Leiter Produkt | DATATRONiQ GmbH
Internet of Things
Data Analysis & Big Data

As Head of Product at DATATRONiQ, I am responsible for both the continuous development of our solutions and their successful implementation in our customers’ production environments. This role gives me a unique perspective: I know what is technically possible – and what truly works in production.

Together with my team, I have already connected hundreds of production systems intelligently. Along the way, we have learned that successful AI means turning machine data into concrete action plans – clear, reliable, and quickly actionable. From the first machine integration to advanced data analyses and forecasts, I guide our customers through the entire digital transformation journey.

In the Masterclass, together with Emanouel Tachtsoglou from Deutsche Telekom, I will demonstrate how AIoT solves real-world challenges: avoiding downtime, ensuring quality, and increasing efficiency.

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Focus Topics

The Focus Topics form the thematic core of the DIGITAL X Focus Edition AI – with a clear view of the opportunities and relevant challenges for companies: digital business and artificial intelligence. The speaker's focus is:

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Masterclass Artificial intelligence

AIoT in der Produktion – Stillstandsverhinderer, Prüfgenie, Effizienztalent

16:30-17:15
Raum T | Level 2

Find out how AI creates real added value in production - from precise data acquisition to automated fault diagnosis and specific recommendations for maintenance. You will learn: - How to use data optimally: How to capture control and sensor data completely and at high frequency - the basis for any AI application. - Detect problems at an early stage: How AI automatically detects anomalies in operation - before downtime or quality problems arise. - Understanding causes instead of just seeing symptoms: How AI not only recognizes anomalies, but also shows their probable causes in a comprehensible way. - GenAI-supported troubleshooting: How an AI system with machine manuals, e-plans, etc. automatically provides concrete suggestions for solutions. The maintenance technician can ask questions via chat or voice and delve deeper into the problem - quickly, interactively and at any time. In short, you can experience how AI not only analyzes data, but also supports real decisions on the shopfloor - efficiently, comprehensibly and directly applicable.