- How quickly you can bridge gaps in your data with the Engineering Intelligence Network to achieve higher accuracy in data analysis faster
- What are the advantages of a data-centric approach for application building?
- Why it is essential to understand the connections between the components of a mechatronic system and how knowledge graphs can help with that
What are the advantages of a data-centric architecture and knowledge graphs?
Summary
As products become more complex due to hardware, electronics, and software integration, communication is crucial to ensuring they work seamlessly. Data silos among engineers hinder collaboration and lead to inaccurate analysis, affecting the customer experience. How can a data-centric architecture and knowledge graphs help break down these silos and facilitate data sharing to understand complex products comprehensively?
Watch the recording of our semantic technologies introduction. Our Senior Product Owner, Daniel Wilms, takes a deep dive into the two technical pillars building the Engineering Intelligence Network: a data-centric architecture and knowledge graphs.
Experts
Part 2
How we use a GraphQL schema as a contract to efficiently build applications
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Daniel Wilms is a Product Manager at SPREAD. Before joining the company, he worked for over 10 years for the automotive giant BMW, where he occupied several roles, such as Research Engineer and Technical Lead. At SPREAD, he is responsible for building software architecture for the customers and for the development of the platform.