How we use a GraphQL schema as a contract to efficiently build applications
Unlock your engineering data: Discover how SPREAD Studio’s low-code platform unifies data with GraphQL to accelerate innovation. Watch the video now!
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complex product architectures, optimizing decision-making, and reducing inefficiencies caused by disconnected tools and outdated processes.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.
How we use a GraphQL schema as a contract to efficiently build applications
Unlock your engineering data: Discover how SPREAD Studio’s low-code platform unifies data with GraphQL to accelerate innovation. Watch the video now!
Read More
Agentic Engineering Intelligence (AEI) - The future of engineering
Discover the future of engineering with Agentic Engineering Intelligence. Overcome data silos & legacy PLM challenges for faster, smarter innovation.
Read MoreIntroducing our platform: 4 steps to an end-to-end product journey
Streamline development with SPREAD’s 4-step engineering platform: Connect, contextualize, extract, and empower your data for real-time insights. Watch it!
Read More