Integrate Atlassian Confluence Cloud with Amazon Quick
Teams can integrate Atlassian Confluence Cloud with Amazon Quick to search and […]
Read moreCategory: Machine learning
Build custom code-based evaluators in Amazon Bedrock AgentCore
Special thanks to everyone who contributed to this launch: Stephanie Yuan, Lefan […]
Read more
Restrict access to sensitive documents in your Amazon Quick knowledge bases for Amazon S3
Organizations that must restrict access to sensitive documents increasingly rely on AI-driven […]
Read more
Real-time voice agents with Stream Vision Agents and Amazon Nova 2 Sonic
This post was co-authored with Neevash Ramdial, Technical Marketing leader at Stream […]
Read more
Improve bot accuracy with Amazon Lex Assisted NLU
Improving bot accuracy in Amazon Lex starts with handling how customers communicate […]
Read more
Control where your AI agents can browse with Chrome enterprise policies on Amazon Bedrock AgentCore
AI agents with unrestricted web access pose significant security risks. Without Chrome […]
Read more
From siloed data to unified insights: Cross-account Athena Access for Amazon Quick
Amazon Quick is an AI-powered unified intelligence service that brings together an […]
Read more
Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI
When you fine-tune large language models (LLMs) with Amazon SageMaker AI while […]
Read more
Build real-time voice streaming applications with Amazon Nova Sonic and WebRTC
Building end-to-end live streaming applications with real-time voice interaction presents several challenges: […]
Read more
Securing AI agents: How AWS and Cisco AI Defense scale MCP and A2A deployments
Model Context Protocol (MCP) adoption has accelerated rapidly since its introduction in […]
Read more