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How AWS SMGS uses an AI-powered conversational assistant to transform business management with Amazon Bedrock AgentCore

How AWS SMGS uses an AI-powered conversational assistant to transform business management with Amazon Bedrock AgentCore

AWS leaders manage complex data across multiple hierarchies while making time-sensitive decisions that impact global operations. Traditional business intelligence relies on static dashboards and manual reports, which creates delays and limits organizational agility. NarrateAI, our intelligent conversational solution, addresses this through conversational agentic AI powered by our data lake and Amazon Bedrock AgentCore. Accessible through …

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Powering agentic AI sales strategy with Amazon Bedrock AgentCore

Powering agentic AI sales strategy with Amazon Bedrock AgentCore

As agent adoption scaled, we saw a common pattern emerge across enterprises, including our own sales organization: specialized agents deliver value, but without orchestration, users carry the cognitive load of choosing between them. At AWS Sales, this meant more than 20 domain-specific agents deployed across the global organization, with representatives context-switching between systems instead of …

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Technical deep dive: AgentCore payments and innovation in agentic commerce

Technical deep dive: AgentCore payments and innovation in agentic commerce

The industry is entering a world where billions of generative AI agents operate autonomously, acting on behalf of humans, making decisions, and completing tasks without human intervention. To support this shift, Amazon Bedrock AgentCore provides a modular, fully managed platform that helps developers build, deploy, and operate generative AI agents at scale. By abstracting the …

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Build highly scalable serverless LangGraph multi-agent systems in AWS with Amazon Bedrock AgentCore

Build highly scalable serverless LangGraph multi-agent systems in AWS with Amazon Bedrock AgentCore

Generative AI has rapidly evolved from experimental prototypes into systems that are expected to operate reliably in production, at scale, and under real-world performance constraints. As organizations move beyond demos and proofs of concept, they increasingly encounter challenges related to inference latency, scalability, state management, and operational visibility. Building high-performance AI agents today requires more …

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Build high-performance generative AI systems with Strands Agents, NVIDIA NIM, and Amazon Bedrock AgentCore

Build high-performance generative AI systems with Strands Agents, NVIDIA NIM, and Amazon Bedrock AgentCore

Building high-performance generative AI agents requires architecture that can deliver fast inference, coordinate multiple agents, and operate reliably under production workloads. If you are building generative AI agents to automate reviews, power digital assistants, and support complex decision-making workflows, you need these agents to perform well. They must reduce manual effort, respond in near real …

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AgentWatch: Proactive AWS monitoring with ambient agents

AgentWatch: Proactive AWS monitoring with ambient agents

AgentWatch delivers ambient AWS resource monitoring for your DevOps team, moving beyond the reactive cycle of managing Amazon CloudWatch alarms across multiple accounts. CloudWatch alarms trigger too late, AWS Lambda errors accumulate unnoticed, and Amazon Elastic Compute Cloud (Amazon EC2) performance degradation goes undetected until customers report problems. This leaves your team constantly firefighting rather …

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From idea to AI app: Creating intelligent research assistants with Strands

From idea to AI app: Creating intelligent research assistants with Strands

Building an AI app shouldn’t require a PhD in machine learning (ML) or months of wrestling with complex architectures. Yet that’s exactly what happens when you try to orchestrate multiple API calls, manage conversation state, and create agents that can reason on their own. I’ve seen straightforward AI ideas balloon into sprawling projects that demand …

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Build an enterprise observability solution for Amazon Quick

Build an enterprise observability solution for Amazon Quick

When hundreds to thousands of users are onboarded to an enterprise AI platform, business leaders and platform owners need visibility into who is using the platform, whether users are satisfied with the answers they receive, and which capabilities are driving the most engagement. Without a centralized observability solution, this data is scattered across multiple AWS …

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Transforming professional work: How Amazon Quick turns document creation from hours into minutes

Transforming professional work: How Amazon Quick turns document creation from hours into minutes

In this post, we explore how the Amazon Quick document and visualization creation capabilities work, what you can build with them, and how professionals across roles are using them to reclaim hours of their workweek. From technical execution to strategic judgment Most professional roles carry an unspoken assumption that a significant portion of your time …

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