In a world where complexity is the norm, model-based systems engineering (MBSE) and artificial intelligence (AI) are coming together to pave the way for more efficient systems engineering solutions.
MBSE: the backbone of modern systems engineering
MBSE uses visualizations and models to enable a comprehensive understanding of complex systems and make valuable engineering information accessible to machines.
Coherent models promote collaboration and reduce inconsistencies
Track changes and maintain an overview of the impact of requirements, which promotes transparency and facilitates iterative adaptation in the engineering process.
Identify and resolve potential issues early in the development cycle to reduce risk and avoid costly mistakes.
AI: the catalyst for innovation
Artificial intelligence offers unprecedented opportunities to the MBSE landscape. The new "AI colleague" can support the development process by introducing automation and verification, for example.
MBSE and AI: a perfect combination
MBSE enables machines to access precise system engineering information. In combination with the natural language capabilities of large language models, AI is already a valuable aid in making engineering more efficient. And this is just the beginning of many more possibilities.
The natural language capabilities facilitate communication and the statements in models such as SysML increase precision.
oose offers many courses on MBSE and courses on MBSE and AI are planned.