John Deere, Rheinmetall, and TU Berlin share their experiences with Systems Engineering to manage product complexity

As products become more digital and interconnected, their complexity skyrockets. Engineering teams can no longer rely on analog documentation and disconnected workflows—they must transition to digital collaboration to keep pace with the rapid evolution of mechatronic systems. However, this shift introduces new challenges, including overcoming data silos in engineering, addressing legacy PLM challenges, and managing complex engineering workflows across multiple disciplines.

Systems Engineers play a crucial role in orchestrating this transition. By leveraging engineering data orchestration, they can unify fragmented information, create a shared digital thread across departments, and ensure that all stakeholders work with a single source of truth. This is essential for understanding and managing complex product architectures, optimizing decision-making, and reducing inefficiencies caused by disconnected tools and outdated processes.

Join leading experts Dr. Christian von Holst (John Deere), Prof. Dr. Lydia Kaiser (TU Berlin), Dr. Marc Honikel (Rheinmetall), and Kai Xiang Wang (SPREAD) as they discuss:

- How Systems Engineers can tackle exploding product complexity
- The role of digital documentation in streamlining engineering collaboration
- Best practices for overcoming data silos and legacy PLM challenges
- How engineering data orchestration improves complex engineering workflows

Watch the full discussion – German audio with English subtitles.