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Shared infrastructure, isolated tenants: Pool model multi-tenancy with Amazon Bedrock AgentCore

Favorite Building multi-tenant AI applications presents new architectural challenges. You need complete tenant isolation between customers, different service tiers with different capabilities, granular cost tracking, and observability per tenant. Without these, you could risk exposing customer data, not providing appropriate quality of service to your customers or running up unforeseen

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Shared by AWS Machine Learning June 23, 2026

Build a protein research copilot with Amazon Bedrock AgentCore

Favorite Protein researchers face a time-consuming challenge: manually searching through thousands of peptide sequences to find structurally similar candidates is slow, error-prone, and requires deep domain expertise to interpret results. Building a protein research copilot can transform how researchers search for structurally similar peptides across large datasets — enabling natural

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Shared by AWS Machine Learning June 23, 2026

Accelerate campaign workflow with insights from Adobe Marketing Agent for Amazon Quick

Favorite Amazon Quick and Adobe Marketing Agent help marketing teams access campaign insights within governed conversations in seconds. Marketers can ask questions about campaign performance, audiences, journeys, campaign conflicts, and content performance in natural language. Amazon Quick provides the chat experience and action orchestration. Adobe provides marketing-domain analysis to the

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Shared by AWS Machine Learning June 19, 2026

Introducing Web Search on Amazon Bedrock AgentCore

Favorite AI agents are changing how organizations find and act on information, but they share one structural limitation: their knowledge is frozen at training time. When you ask an agent that relies only on its training data about today’s stock price, a sports score, or a release that shipped an

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Shared by AWS Machine Learning June 19, 2026