Term · Topic

Data Labeling

Q: What is Data Labeling?

Data labeling is the process of assigning structured, meaningful annotations or tags to raw data so that Machine Learning (ML) systems and analytical workflows can interpret, classify, and act on that data in a consistent and automated manner. Expanded Explanation 1. Technical Function and Core Characteristics Data labeling assigns human- or rule-generated metadata to data elements such as text, images, audio, video, tabular records, or sensor streams. Labels encode properties like class

Data labeling is the process of assigning structured annotations or tags to raw enterprise data so machine learning models and analytics systems can use it reliably, which supports model training quality, governance controls, and operational consistency across AI and data platforms.

What this term record gives an agent

Vendors describe the same technology in different words. This record pins down what "Data Labeling" means and ties it to the companies and coverage that use it, so an agent compares like with like.

One definition

A plain definition plus how it's used, what it's often confused with and why it matters.

Neighboring terms

Related terms in the same glossary, so an agent can widen or narrow a search the way the market does.

Get this term

The same record, four ways in. No key needed to try it.

MCP

curl -X POST https://mcp.decisioninsights.ai/api/mcp-public \
  -H "content-type: application/json" \
  -H "accept: application/json, text/event-stream" \
  -d '{"id":1,"jsonrpc":"2.0","method":"tools/call","params":{"arguments":{"slug":"data-labeling"},"name":"di_get_term"}}'

REST

GET https://api.decisioninsights.ai/api/public/v1/glossary/6482a7ea-b6d7-4fc0-b41c-543512648626

CLI

di get-glossary --slug data-labeling

JSON-LD

The schema.org markup this page publishes for search engines and AI agents, exactly as they read it.

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How an agent can rely on this definition

What the record lets an agent check before it uses the term in an answer.

The check	What the record shows	Where it is in the data
It's a known term	One entry, with its type (topic)	`name`
It sits in a glossary	Linked to Data Augmentation, Missing Data Detection, Data Normalization, Data Preparation	`inDefinedTermSet`

View the raw record (JSON-LD)

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