Context intelligence for your data and AI agents at scale
TL;DR
AWS announced several context-intelligence building blocks for enterprise data and AI agents at its New York Summit: AWS Context is coming soon, new Glue features are in preview, and S3 Annotations are generally available. AWS Context is meant to map relationships across existing data sources into a knowledge graph and give agents governed access to business rules, metadata, and domain knowledge through agentic search.
Nauti's Take
This is strategically strong, but very AWS in its packaging: a big platform vision, several preview pieces, and a clear path to pull more enterprise knowledge into the AWS universe. The practical upside is real because agents often fail on boring context questions: which table is right, which join is allowed, which definition applies?
The deciding factor will be whether teams actually curate and audit the graph instead of treating automatically generated metadata as truth.
Briefingshow
The important part is not another chatbot layer, but the data layer underneath it. If agents are expected to support real business decisions, they need more than table access: verified meanings, join rules, permissions, and audit trails matter. AWS is trying to bake that context into its data platform instead of leaving it scattered across prompts, wikis, and tribal knowledge.
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