AI

Get back hours every day with autonomous agents in Amazon Quick

What if you came back from a full day of meetings and the busywork was already done? Stalled deals followed up on. Compliance changes summarized. Meeting prep written. Not because you multi-tasked, but because something was working in the background while you focused on other urgent priorities. Teams are already using Amazon Quick — an AI assistant that connects to your most-used apps […]

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Context intelligence for your data and AI agents at scale

Agents are only as intelligent as the context they can reason over. Today, that context is scattered across data lakes, data warehouses, lakehouses, databases, and streams, and in institutional knowledge that has never been written down. You want to trust the decisions made by your AI agents, but that can’t happen until agents have context. Imagine what becomes possible

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New in Amazon Bedrock AgentCore: Build agents with broader knowledge and continuous learning

The models powering today’s agents are remarkably capable. They can reason across complex problems, plan multi-step workflows, and generate nuanced responses. But most agents are operating well below that potential. The gap isn’t intelligence. It’s access to the right context and feedback. A customer service agent tasked with answering a question about your company’s refund

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AWS Summit New York 2026: AI Innovations help customers accelerate how they work, build software, deliver security and create production-ready agents

The launch of AWS Continuum and AWS Context, along with capabilities across Amazon Quick, Kiro, AWS DevOps Agent, AWS Transform and Amazon Bedrock AgentCore, highlight how AWS is helping customers use agents to work more effectively.

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