AWS Builds Foundation for Production AI Agents
AWS is systematically expanding its infrastructure for production-grade AI agents by introducing semantic data layers, specialized quality tools, and structured context engineering frameworks. The saga concludes with the addition of decision models to Bedrock, providing developers with advanced methods to evaluate and refine agent performance.
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Amazon Bedrock adds decision models for agent evaluation
Amazon Bedrock AgentCore Evaluations now supports decision models as custom evaluators for agent performance checks. These models—like Jev (hosted by TypeSafe) and Strands Decider 2B (open-source,…
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AWS details four context engineering layers for production AI agents
AWS Machine Learning Blog published a technical guide on managing context windows for production AI agents. The post, part of a series on the open-source Deep Insight solution, outlines four layers…
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Indegene builds AI-powered Data Quality Agent on AWS Bedrock
Indegene Limited, a strategic partner to the life‑sciences industry, has added a generative‑AI Data Quality Agent to its NEXT Unified Data Platform (NEXT UDP). The agent runs on Amazon Bedrock,…
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AWS blog shows how to build agentic AI semantic layer with EDB Postgres AI
An AWS Machine Learning Blog post details a technical architecture for building a semantic layer for agentic AI using EDB Postgres AI and Amazon Bedrock AgentCore. The guide demonstrates how to…
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