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Capability

Media assets include structured, descriptive metadata

This capability is where a business' assets include metadata that is more than just descriptive text or stand-alone tags. The metadata ("tags" or "codes" or "annotations") includes structure that tells machines and humans what type of metadata it is, and what it means. It might also be connected via a graph to other metadata terms.
Solves the problems
Poor video content discovery
Valuable video content invisible to Search Engines
Low value content tagging
Lack of a training corpus for AI systems
Important for these Maturity Models
Artificial Intelligence Engineering Maturity Model
Stage 2: Experimentation: Hopeful in AI and its promise - Maturity Stage
At the AI Experimentation maturity stage, a business is "learning through doing" and trying new approaches. At this stage a business must work hard to avoid distractions and fads.
Artificial Intelligence Engineering Maturity Model
Digital Media Metadata Maturity Model
Stage 4: Knowledge Graph Metadata available over API
Enables seamless journeys around the core business information model, providing context and meaning, and arranged in a practical graph structure.
Digital Media Metadata Maturity Model
Involves these Technologies
KGaaS - Knowledge Graph as a Service
Knowledge Graph as a Service is a particular type of "Software as a Service" ("SaaS") that enables users to design, launch and maintain a knowledge graph platform without having to manage the tools and infrastructure.
Linked Data
Linked Data is a method for connecting and publishing structured data on the web, allowing it to be interlinked and easily accessible. It relies on standard web technologies such as HTTP, RDF (Resource Description Framework), and URIs (Uniform Resource Identifiers) to facilitate data integration across diverse systems.