Every processed story in chronological order, with the newest coverage first. Filter by tag, source, or score to drill in.
The integration connects Adobe's marketing data directly into Amazon Quick via MCP, enabling campaign insights — including audience rankings and conflict recommendations — to be retrieved without leaving the Amazon Quick environment.
Strands Evals provides structured, automated root cause analysis for AI agent failures — including confidence scores, causal chains, and targeted fix recommendations — replacing ad-hoc manual debugging in evaluation pipelines.
The post is a case study on applying agentic AI — combining Strands Agents, Amazon Bedrock, and MCP tooling — to title operations in the real estate/closing industry.
The results show that the bottleneck to shipping AI-generated code is not output volume but agent access to domain knowledge and team willingness to restructure work — and that addressing both can compress multi-year project timelines to weeks.
The post demonstrates how MCP-based integrations can connect an AI agent to observability and project-management tooling to automate the full incident triage and handoff workflow from a single prompt.
Teams building enterprise AI agents on Amazon Bedrock can now integrate Neptune and Mem0 to give those agents durable, company-scoped memory — moving beyond stateless, single-session interactions toward agents that genuinely accumulate organizational context.
Developers building multi-channel commerce or service workflows can use this as a reference architecture for deploying production-grade AI agents on AWS with Bedrock AgentCore and Nova 2 Sonic.