Problem

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