Value of data: How smarter models empower engineering | Data-driven Engineering

Industrial companies sit on vast amounts of data, yet much of it remains locked in PDFs, legacy drawings, and unstructured documents. What if that data could become intelligent, connected information that supports digital twins, simulation, and AI?

In this episode of Data-driven Engineering, we explore how decades of legacy engineering material can be turned into structured, semantic data that both people and systems understand.

Mikko Yllikäinen, VP Product Creation at Cadmatic, talks with Antti Villberg from Semantum about:

Why valuable engineering data often gets lost in document handovers
How semantic data models and knowledge graphs make information machine-readable
Converting legacy P&IDs, PDFs, and laser scans into intelligent models
How standards like ISO 15926 and OPC UA enable interoperability and plug-and-play integration
Why structured data forms the foundation for AI in industrial environments

The takeaway: data becomes powerful when it is meaningful, connected, and standardized. That foundation supports innovation, stronger collaboration, and new possibilities for engineering.