MBSE Summit: How AI can increase the acceptance of MBSE
At this year's MBSE Summit, I moderated a breakout session on the question of how AI can increase the acceptance of MBSE.
Product Velocity is a new approach that enables companies to learn faster, make decisions more quickly, and deliver results.
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Systems engineering requires a very broad knowledge base. This can be found in this category.

At this year's MBSE Summit, I moderated a breakout session on the question of how AI can increase the acceptance of MBSE.

This open space session at MESConf 2025 dealt with the question of FOSS tools for SysML v2 modeling.

Assumption debt means that assumptions are not properly recorded and tracked. This can lead to problems.

Martin Haunschmid's keynote speech clearly shows how important it is to consider cybersecurity at an early stage of development.

Agile, model-based product development is essential for survival in today's competitive environment - This article highlights 6 strategic measures.

Zero Trust Security guarantees security. This cannot prevent hardware backdoors, but it can limit the damage.

To effectively develop systems from hardware and software, we need HAL as an abstraction for black box modeling.

Since AI started to make waves a few years ago, developers have been waiting for the use of MBSE and SysML v2.

Semantic versioning has made component-based software development possible. Perhaps in systems engineering too?

Medical technology started introducing systems engineering quite late. This enables a pragmatic approach.

One area of application for AI in product development that is often overlooked at present is change management

ReConf 2025 is all about digital disruption. I will be there with a presentation on AI in requirements engineering.
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