A seven-layer composable reference architecture for taking enterprise agentic AI from prototype to production on Amazon Bedrock AgentCore. Each layer has…
Tag: Artificial Intelligence
How CrossnoKaye grounds physical AI with Amazon Bedrock AgentCore
CrossnoKaye brought physical AI to heavy industry with Amazon Bedrock AgentCore. Its ATLAS platform and AURA agentic system ground AI reasoning in live…
Professional work deserves professional tools. Meet AWS Quick.
Introducing AWS Quick, formerly Amazon Quick, and the debut of our first brand campaign celebrating teams who keep business moving. AWS Quick is the AI…
Getting started with Web Answer on Amazon Bedrock AgentCore
Web Answer on Amazon Bedrock AgentCore returns a synthesized, source-cited answer to a natural-language question in a single tool call, with no search,…
Use decision models with Amazon Bedrock AgentCore Evaluations
Some agent-evaluation questions are narrow and repeatable, and decision models answer exactly that kind of question. This post shows how to connect two…
How Amazon Marketplace evaluates content quality with Amazon SageMaker AI
Learn how Amazon Marketplace evaluates A+ Content quality at scale on Amazon SageMaker AI by rendering each product page as a single snapshot, scoring it…
How U Mobile built agentic telco operations with Amazon Bedrock AgentCore
U Mobile, Malaysia’s newest 5G network provider, built AiDaH, an agentic AI operations platform on Amazon Bedrock AgentCore that moves beyond AI…
Smart Approvals in Amazon Quick: Human oversight where it matters
Smart Approvals in Amazon Quick reviews eligible agent actions within your existing controls, reducing unnecessary approval prompts while keeping…
How Indegene is modernizing and scaling enterprise data quality in life sciences
This post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS. The agent generates…
Four layers of context engineering for production AI agents: How Deep Insight applies them in working code
In production AI agents, context management is the real bottleneck. This post presents a four-layer context engineering framework (architecture, prompts,…