---
title: "Context intelligence for your data and AI agents at scale"
slug: "context-intelligence-for-your-data-and-ai-agents-at-scale"
date: 2026-06-17
category: tech-pub
tags: [agents, amazon]
language: en
sources_count: 1
featured: false
publisher: AInauten News
url: https://news.ainauten.com/en/story/context-intelligence-for-your-data-and-ai-agents-at-scale
---

# Context intelligence for your data and AI agents at scale

**Published**: 2026-06-17 | **Category**: tech-pub | **Sources**: 1

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## TL;DR

- AWS announced several data and agent features at AWS Summit New York City.

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## Summary

- AWS announced several data and agent features at AWS Summit New York City. AWS Context is designed to map relationships across existing data sources into a knowledge graph and give agents governed context at runtime.
- AWS Context integrates with AWS Glue Data Catalog, Amazon SageMaker Unified Studio, and AWS Lake Formation. Key metadata is published in Apache Iceberg on S3, so teams can query it with Athena, Redshift, Spark, or other Iceberg tools.
- AWS Glue Data Catalog gets a preview of business context and semantic search. Teams can enrich tables, views, and columns with descriptions, glossary terms, custom metadata, and skill assets.
- Amazon S3 Annotations are now generally available. Each S3 object can carry up to 1 GB of mutable context, queryable through managed Iceberg tables and discoverable by agents through MCP.

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## Why it matters

AWS announced several data and agent features at AWS Summit New York City. AWS Context is designed to map relationships across existing data sources into a knowledge graph and give agents governed context at runtime.

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## Key Points

- AWS announced several data and agent features at AWS Summit New York City. AWS Context is designed to map relationships across existing data sources into a knowledge graph and give agents governed context at runtime.
- AWS Glue Data Catalog gets a preview of business context and semantic search. Teams can enrich tables, views, and columns with descriptions, glossary terms, custom metadata, and skill assets.
- Amazon S3 Annotations are now generally available. Each S3 object can carry up to 1 GB of mutable context, queryable through managed Iceberg tables and discoverable by agents through MCP.

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## Nauti's Take

The announcement is written with plenty of vendor polish, but the direction is practical: agents need clean data relationships, rules, and access control more than another chatbot shell. AWS is packaging that as context infrastructure built around knowledge graphs, Iceberg, Glue, and S3. The real test comes later: how accurately AWS infers relationships, how much manual curation remains, and whether failed agent decisions can be audited clearly.

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## FAQ

**Q:** What is Context intelligence for your data and AI agents at scale about?

**A:** - AWS announced several data and agent features at AWS Summit New York City.

**Q:** Why does it matter?

**A:** AWS announced several data and agent features at AWS Summit New York City. AWS Context is designed to map relationships across existing data sources into a knowledge graph and give agents governed context at runtime.

**Q:** What are the key takeaways?

**A:** AWS announced several data and agent features at AWS Summit New York City. AWS Context is designed to map relationships across existing data sources into a knowledge graph and give agents governed context at runtime.. AWS Glue Data Catalog gets a preview of business context and semantic search. Teams can enrich tables, views, and columns with descriptions, glossary terms, custom metadata, and skill assets.. Amazon S3 Annotations are now generally available. Each S3 object can carry up to 1 GB of mutable context, queryable through managed Iceberg tables and discoverable by agents through MCP.

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## Related Topics

- [agents](https://news.ainauten.com/en/tag/agents)
- [amazon](https://news.ainauten.com/en/tag/amazon)

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## Sources

- [Context intelligence for your data and AI agents at scale](https://aws.amazon.com/blogs/machine-learning/context-intelligence-for-your-data-and-ai-agents-at-scale/) - AWS Machine Learning Blog

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## About This Article

This article is a synthesis of 1 sources, curated and summarized by AInauten News. We aggregate AI news from trusted sources and provide bilingual (German/English) coverage.

**Publisher**: [AInauten](https://www.ainauten.com) | **Site**: [news.ainauten.com](https://news.ainauten.com)

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*Last Updated: 2026-06-18*