AI does not replace systems engineering: it shifts the work
In this video interview, Prof. Dr. Thomas Meenken explains how Artificial Intelligence is transforming Systems Engineering.
Product Velocity is a new approach that enables companies to learn faster, make decisions more quickly, and deliver results.
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In this video interview, Prof. Dr. Thomas Meenken explains how Artificial Intelligence is transforming Systems Engineering.

The theory behind Product Velocity can be expressed with mathematics and optimizes the reduction of uncertainty with four variables.

Problems must be understood before solutions to avoid unnecessary complexity and find the optimal solution.

The workshop of the GfSE Agile Systems Engineering working group focused on SEBRAS, Stripes and spreading good ideas.

In this keynote speech, Martin Eigner shows how software, systems and services are changing product development.

In this episode of the Heldengeschichten podcast, Thomas Löbel talks to Michael Jastram about engineering in Germany.

There is now also an Expansion Pack for the Scrum Guide, which is relevant for Systems Engineering and Product Velocity.

Architecture is often perceived as a technical discipline, but it is also an important economic control element.

The four principles of product development are the basis for Product Velocity and are not only relevant for systems engineers.

Case studies are essential to understand how Product Velocity works in practice. This library will grow over time.

Architecture decisions have a direct influence on product velocity and can noticeably accelerate development.

How the value stream analysis for the factory floor from „Learning to See“ can be transferred to systems engineering.
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