Metadata holds no value for human or machine processes
If metadata does not include structure or context (from a model), it is impossible to harness it in structured scenarios such as AI training, and driving product features.
Prevented by these Capabilities
An integrated information backbone
Data Language specializes in high-value information systems design and governance. A strong and highly contextual information backbone is essential for delivering and maintaining competitive digital products.
Inhibits these Capabilities
Core business assets are described with context and meaning
For effective business information management, it is important to have core business digital assets described with context and meaning so that their usage and performance can be measured and optimized.
AI does the heavy-lifting for subject matter experts
Leads to these Problems
Lack of a training corpus for AI systems
SMEs don't see value in content tagging
Inability to drive meaningful user experiences with data
Caused by these Problems
Low value content tagging
Poor quality content tagging