Data engineering and analytics

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We can help you to implement your digitalization goals, from data capture and analysis to the integration of solutions in your systems. This will give you valuable insights into your processes so that you can make well-founded decisions and increase your competitiveness over the long term.

 

MLOps – implementation in the company

Low-Code – integrating data

The potential of machine data connectivity

Digital twin – analysis and implementation

Basic training for digital twins (AAS)

Workshop on the practical methodology and modeling of digital twins (AAS)

Workshop on the implementation of digital twins (AAS)

 

Reliable AI: Robust – Explainable – Measurable

GenAI – implementation of a knowledge database (RAG)

GenAI – quality control with artificial image data

Effects analysis – identifying relationships in production

Energy consumption forecasting

AI-supported grouping, nesting and scheduling

 

Analysis of manual activities

Low-Code Dashboard

Machine data dashboard