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Capability

Automated tagging integrated with knowledge graph

Solves the problems
Lack of a training corpus for AI systems
Important for these Maturity Models
Digital Media Metadata Maturity Model
Stage 5: Knowledge Graph Metadata as a Platform - Maturity Stage
Your Knowledge Graph enables seamless journeys around the core business information model, and provides essential information management tools to human and machine users.
Digital Media Metadata Maturity Model
Delivered by these Product Features
Supports custom classes
Supports custom classes
Ability to support 100s or 1000s of classes, outside of the standard "People, Places, Organisations, Themes" pattern
Involves these Technologies
Automated Content Tagging using Artificial Intelligence (AI)
The use of AI or Machine Learning (ML) to automatically predict content classifications. This is also known as "Auto-tagging" or "Auto-coding" (Healthcare applications) or "Auto-classification".
Artificial Intelligence (AI)
AI is a core discipline at Data Language, with an expert team skilled in machine learning, deep learning, and scalable Production AI engineering. AI is advancing as the key technology that all businesses need to master.
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.
Knowledge Graphs
Data Language is a market leader in the design, implementation, and deployment of knowledge graphs (KGs), and we have developed a Knowledge Graph as a Service platform that enables exploration and speed-to-market.