Broadcast date: June 8th, 2026, 13:00 CET

As the global Systems Engineering community prepares for the upcoming INCOSE International Symposium in Japan, our next episode of the “MBSE around the World” series takes a deep dive into the land of the rising sun.

Japan has a rich history of engineering excellence, but how is Model-Based Systems Engineering (MBSE) uniquely adopted, scaled, and perceived across Japanese industries? What cultural and organizational factors influence its implementation?

We have three guests this time: Kazuyuki Murakami, Shinichiro Nakamura, and Takeshi Kouno are leading figures in the field of MBSE in Japan.

In this upcoming session, we explore:

• The current state of MBSE in Japan’s industry.
• The regional challenges and innovative breakthroughs.
• What the global community can learn from Japan’s approach to systems thinking as we head into the International Symposium.

Whether you are attending the Symposium or want to expand your global perspective on systems engineering, this episode is a must-listen.

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 #SystemsEngineering #MBSEPodcast #MBSEAroundTheWorld #INCOSE #INCOSEIS #Japan

Der Beitrag Episode 67: MBSE around the World – Japan erschien zuerst auf The MBSE Podcast.

Broadcast date: April 13th, 2026, 19:00 CET

Modelers spend a lot of time creating SysML diagrams. It takes effort to get the layout of the countless elements just right and ensure that all relationships are free of overlaps, and so on. Good diagrams are important so that relevant stakeholders can easily access the information.

Diagrams can also be generated automatically, which saves a lot of effort. In this episode, we cover automated visualization with SysML v2. Our guest is Brendan Madden, CEO of Tom Sawyer Software.

What to expect:

• How automatic diagram generation works in SysML v2
• The role of graph visualization in MBSE
• Practical implications for engineering teams and toolchains
• A forward-looking perspective on model usability and scalability

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 #Tools #ModelBasedSystemsEngineering #SystemsEngineering #MBSEPodcast

Der Beitrag Episode 66: SysML v2 Automatic Drawing with Brendan Madden erschien zuerst auf 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.