16 docs tagged with "ai"

Establish robust AI governance frameworks that maintain compliance, mitigate risks, and drive trust through visibility, lifecycle management, and policy enforcement

Configure AI asset access in personas — control who can view, edit, or manage AI models, model versions, applications, and governance properties.

Integrate, catalog, and govern Amazon SageMaker AI assets in Atlan.

Integrate and leverage Atlan AI capabilities for enhanced data documentation, and lineage analysis.

Security and compliance information for Atlan AI, including AI architecture, data handling, encryption, model management, and compliance frameworks.

Automate metadata enrichment at scale using AI-powered context agents that generate descriptions, READMEs, and SQL intelligence across your most important data assets.

Bootstrap, test, and ship the business context every AI agent needs to produce accurate, trustworthy answers.

Step-by-step guide to triggering AI-powered metadata enrichment using context agents in Context Agents Studio.

Answers to common questions about Context Agents Studio—covering enrichment behavior, collections, agent support, processing time, and AI credit usage.

Learn what the Atlan MCP server is, what it enables, and how to connect using Remote or Local setup.

Query Lakehouse metadata using natural language in AI coding agents like Claude Code. Install the atlan-lakehouse skill, which detects your platform and generates appropriate SQL queries.

Understand the collections available in Context Agents Studio—curated groups of data assets automatically surfaced from usage signals to help you prioritize metadata enrichment.

Learn about the AI-powered context agents available in Context Agents Studio—specialized agents that generate descriptions, READMEs, and SQL intelligence.

Before using Atlan AI for glossary management, your admin user must enable the Atlan AI Summary toggle in the Atlan AI section under Labs.

Learn what AI assets and metadata Atlan crawls from Amazon SageMaker.

Understand what Context Engineering Studio is, how it works, and the key concepts behind building and deploying context repositories.