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Big Data is considered the gold standard when it comes to AI. However, high-quality datasets lead to better insights than sheer amounts of data.

An AI-based assistance system can make the identification of old parts more robust and profitable. This leads to more parts being repaired instead of new parts having to be produced. Using starters as a real-world calculation example from the automotive industry, let us show you the amount of emissions that can be saved as a result.

Each year, up to seven percent of all end-of-life parts are discarded instead of being reprocessed for remanufacturing. An AI-based decision support system aims to make the identification of end-of-life parts more robust and profitable.

Tend-O-Bot researches the use of mobile robots and intelligent software for autonomous machine tending.

Artificial intelligence requires large quantities of data? Not necessarily, say scientists at Fraunhofer IPK. They use visual quality control for industrial goods to show how it can work.

Complaints regarding missing instruments in the operating room are a daily occurrence in hospitals. An AI-based system for automated completeness checks aims to avoid this.

Protective medical masks are an essential component for combating the pandemic. Their quality ought to be verified automatically and reliably.

The ReTraNetz-BB real-world laboratory supports the local vehicle and supplier industry’s turnaround. Process chains are tested here and technologies are transferred into real-life scenarios.

Products and services have had a complicated love story. Can decentralized data spaces give their relationship the room it needs to grow?

Today, those who develop complex products do so using data and collaborative methods. Gaia-X aims to provide the framework for this.