AWS Machine Learning
Amazon Web Services' official AI/ML blog covering Bedrock, SageMaker, AgentCore, and Nova model updates.
AWS doubles down on Bedrock AgentCore as the default primitive for enterprise agents
◆Recent moves
- 1d ago
Amazon Nova Act is now HIPAA eligible
⚡ SPARKHIPAA eligibility for Nova Act, AWS's agentic browser-action model, opens healthcare workflows as a target market — extending the AgentCore stack into regulated industries that have blocked most foundation-model rollouts.
View source ↗ - 1d ago
Intelligent radiology workflow optimization with AI agents
A reference architecture for radiology worklist optimization built on AgentCore, showing how multi-agent systems can replace rule-based scheduling. Fits AWS's pattern of publishing vertical solution recipes rather than generic agent tutorials.
View source ↗ - 1d ago
Integrating AWS API MCP Server with Amazon Quick using Amazon Bedrock AgentCore Runtime
Demonstrates a conversational layer over the AWS CLI via the AgentCore Runtime's MCP support. Continues the trend of treating MCP as the connective tissue between Amazon Q-family assistants and AWS service APIs.
View source ↗ - 1d ago
Building multi-tenant agents with Amazon Bedrock AgentCore
Architectural guidance for running agentic workloads in SaaS settings — tenant isolation, identity, and cost attribution on AgentCore. Signals AWS expects ISVs, not just internal enterprise teams, to ship agents on the platform.
View source ↗ - 1d ago
Break the context window barrier with Amazon Bedrock AgentCore
A technique post on Recursive Language Models that uses AgentCore Code Interpreter as scratch memory, processing arbitrarily long documents via sub-LLM calls. Positions AgentCore's sandboxed Python as a differentiator over pure prompt-based agent frameworks.
View source ↗ - 1d ago
Build AI agents for business intelligence with Amazon Bedrock AgentCore
Customer case study deploying three AgentCore-hosted BI agents with Claude Sonnet and Bedrock Knowledge Bases. Reinforces the AgentCore plus Strands plus Anthropic reference stack with a named production deployment.
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