The MBSE Podcast

Broadcast date: February 24th, 2026, 18:30 CET

Artificial Intelligence is everywhere — but how do engineering organizations move beyond experimentation and isolated pilots toward real, scalable impact?

In this episode of the MBSE Podcast, we welcome Prof. Dr. Thomas Meenken and Alexander Krumm, two experts who combine deep methodological expertise with hands-on industrial scaling experience.

• Thomas brings academic rigor and industry leadership experience from BHS, Roche, and Zeiss.
• Alexander, a seasoned system architect, contributes large-scale implementation expertise from Continental, CARIAD, and CLAAS.

Together, they share practical insights from real-world projects conducted through their companies VPATH AI and AI Powered Engineering — spanning the journey from first pragmatic AI agents to agentic workflows and ultimately to integrated Engineering Intelligence platforms.

Scaling AI without frontloading perfection
You don’t need perfect data to start. AI can actively help structure and clean information from the very first use case. Learn how companies move from isolated quick wins to a scalable, integrated platform approach.

From isolated agents to Engineering Intelligence
True scaling requires context — understanding technical decisions, organizational constraints, resource bottlenecks, and skills gaps. We discuss what it really takes to industrialize AI in engineering environments.

Lessons learned from real implementations
AI should act as a relevance filter — protecting overloaded teams from data overflow and overspecification. One key benefit: drastically reduced onboarding time for complex software systems, even when legacy documentation is incomplete or missing.

Strategic advice from the field
AI adoption is an organizational learning journey — not a one-time software purchase. Why expert-led implementation projects with tool vendors matter far more than simply buying licenses, and how to shape an AI strategy that truly fits your company.

Watch the livestream on YouTube or catch it later on YouTube, Spotify, iTunes, or Amazon Music.

Stay tuned and subscribe to the MBSE Podcast on your favorite platform!

#MBSE #AI #ModelBasedSystemsEngineering #SystemsEngineering #MBSEPodcast

Der Beitrag Episode 65: Scaling AI in Engineering with Alexander Krumm and Prof. Dr. Thomas Meenken erschien zuerst auf The MBSE Podcast.

Broadcast date: January 22nd, 2026, 18:00 CET

We’re thrilled to welcome Andrius Armonas and Aurelijus Morkevicius to the MBSE Podcast! Representing one of the most powerful SysML modeling tools on the market – Cameo Systems Modeler, Andrius and Aurelijus bring years of experience and deep expertise to the conversation. Both are well known in the global MBSE community for their contributions, thought leadership, and passion for systems engineering.

In this episode, we’ll talk about:

• The challenge of developing a SysML v2 modeling tool
• Key features and the roadmap for Cameo Systems Modeler
• Their views on SysML v2 adoption in the industry
• And what it’s like being at the forefront of MBSE innovation

And if that weren’t enough, the audience can expect at least one moment in the conversation where Andrius and Aurelijus will share particularly exciting news for the entire MBSE community.

Watch the livestream on YouTube or catch it later on YouTube, Spotify, iTunes, or Amazon Music.

Stay tuned and subscribe to the MBSE Podcast on your favorite platform!

#MBSE #SysMLv2 #CameoSystemsModeler #ModelBasedSystemsEngineering #SystemsEngineering #MBSEPodcast

Der Beitrag Episode 64: Cameo Systems Modeler and SysML v2 with Andrius Armonas & Aurelijus Morkevicius erschien zuerst auf The MBSE Podcast.

Broadcast date: December 15th, 2025, 17:30 CET

We dive into an essential piece for the SysML v2 puzzle: Sysand, a package manager.

Just as code needs robust package management, models do too. Sysand aims to bring modularity, version control, and reusability to the world of systems modeling.

Join us as we speak with the minds behind Sysand to learn:

• Which problem does it solve
• What motivated the creation of Sysand
• How it integrates into existing SysML toolchains
• The core features, use cases, and roadmap for the project
• And how it fits into the future of open and modular MBSE

Whether you’re a systems engineer, tool developer, or just passionate about the future of modeling, this episode will give you valuable insights into how Sysand is helping shape the MBSE landscape.

Learn more about the project in advance: https://sysand.org/

Stay tuned and subscribe to the MBSE Podcast on your favorite platform!

You can watch this episode live on the YouTube Livestream on December 15th at 17:30 CET, or catch it later on YouTube, Spotify, iTunes, or Amazon Music.

Der Beitrag Episode 63: Sysand – The SysML Package Manager with Juozas Vaicenavicius & Simonas Drauksas erschien zuerst auf The MBSE Podcast.