The Digital Product Passport timeline for Swiss manufacturers
The EU market sets your clock, not Swiss membership. Read the calendar as an architecture signal and you build one foundation; read it as a to-do list and you...
Insights, tutorials, and updates from the Data Graphs team on knowledge graphs, agentic AI, and enterprise data architecture.
The EU market sets your clock, not Swiss membership. Read the calendar as an architecture signal and you build one foundation; read it as a to-do list and you...
Swiss manufacturers who deliver their machine-readable information backbone for DPPs at the outset, will be well prepared for the upcoming DPP delegated acts,...
We asked a general AI and our own Data Graphs AI the same question about World Cup squad rotation. Only one could answer it with real numbers. The difference...
A knowledge graph turns a competition's data into something AI can reason over, not just summarize. See how Data Graphs modeled the entire FIFA World Cup 2026,...
Why deep graph traversal breaks most engines. How Data Graphs runs deep queries orders of magnitude faster than Neo4j, in a fraction of the memory, and with...
In high-trust environments where information evolves constantly, measuring AI accuracy is not enough. A governed information backbone is what makes AI systems...
AI-powered video intelligence is no longer reserved for organizations with Netflix's engineering resources. Here is how Bitmovin and Data Graphs make it a...
Governed, shared reference data is the stable vocabulary your information backbone speaks in. Without it, every system upstream and downstream (yes - including...
Why the true cost of building a governed information backbone for a high-trust environment is almost always underestimated - and what that means for your build...
Most AI systems get answers wrong because they lack context and cannot reliably connect the dots between data points. Structuring relationships between data...
Written for organizations that already have systems, already have data, and are still unable to get immediate answers to their crucial business questions.
In regulated and high-trust environments, AI reliability is a foundation problem.