Poor quality content tagging

Create or rationalize existing metadata repositories into a centrally managed metadata system, so that humans and machines can both refer to a single version of the truth.

Next generation digital asset management (DAM) where images and video are described with context and meaning.

Due to shortfalls in core business information management, projects experience blockers and insurmountable issues when trying to realize rich user experiences

Subject Matter Experts (SMEs) cannot see business value being created by the use of tags or metadata.

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.

In content classification scenarios, the metadata "tags" often are duplicated - i.e. a user creates a new tag that is the same as (or similar -to) an existing tag. This problem arises when users do not have good visibility of the existing tag portfolio during workflows.

Simple NER (Named Entity Recognition) automated tagging can generate numerous tags, covering all the things that are **mentioned** in a piece of content, and not necessarily what the content is **about**.

Tagging tools that make it difficult to annotate accurate and valuable metadata to content or assets. This is a common workflow problem!