Ameru Smart Bin: From idea to physical product in record time
Case studies are essential to understand how Product Velocity works in practice. This library will grow over time.
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 is used in industry. Specific examples and other information can be found in this category.

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

Local efficiency gains increase the global delay. To accelerate development, understanding is the first step.

This 2025 review looks at SysMl v2 and automotive, as well as trends for 2026 such as AI, investments and product velocity.

Valispace was renamed Requirements Portal after the acquisition by Altium, which is very favorable for teams.

Automation leads to more speed in development. But it is the 5th step in systematic process improvement.

Removing blockers quickly is an indication that agility is practised in the organization. Saab Aeronautics can do this in an hour.

Interview with Prof. Sören Auer on knowledge graphs and AI in systems engineering, and why pilot projects should start now.

Automotive in Europe is in crisis. It was caused by bad decisions, but systems engineering is part of the solution.

Since modern AI is generally non-deterministic, we need an alternative to unit tests. Eval is an excellent complement to these.

The Digital Thread connects all relevant data across the product life cycle in real time and makes Product Velocity possible.

Industrial DevOps finally brings speed to product development. This fits in with my own book Product Velocity.

The SeaLion project developed a CubeSat with docs-as-code: Artifacts are stored in gitHub in YAML notation.
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