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Stories, Papers und Videos zu Engineering Intelligence, von unserem Team und den Ingenieuren, mit denen wir arbeiten.
Empfohlen
Model-Based Systems Engineering: When the Model Loses Touch With Reality
Model-based systems engineering was supposed to end the era of the system living in a thousand documents. One formal model, drawn once, kept current, describing the requirements, the functions, the architecture, and the ...
Root Cause Analysis Methods for E/E and Software Failures
The 5 Whys was invented on a Toyota shop floor to explain why a machine blew a fuse. It is a beautiful tool for a bolt that sheared or a pump that seized. Point it at an intermittent CAN bus fault that only appears ...
Engineering Intelligence for Automotive: One Connected Model, End to End
A modern car is a rolling data problem. Tens of thousands of parts, millions of lines of software, a requirement set that changes every week, and a diagnostic trail that grows for a decade after the vehicle ships. The ...
Warranty Data Analytics: Spotting Repeat Failures Before They Scale
A warranty problem is never one ticket. By the time a defect looks like a problem in the numbers, you have already built and shipped the next batch of vehicles carrying it. The claims that arrive this quarter were ...
Context Engineering: The New Edge in Industrial AI
The models are not the bottleneck anymore. In his opening at CUBE 2026, SPREAD co-founder Robert Goebel argued that the edge in industrial AI has moved to context engineering: the connected, typed product knowledge an ...
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