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Build AI-powered dashboard automation agents with NLP on Amazon Bedrock AgentCore

Favorite Business analysts often wait days for dashboard modifications when responding to changing business requirements. Traditional processes involve submitting modification requests to IT teams, who interpret requirements, navigate API documentation, understand table schemas, and deploy changes. While this approach maintains proper oversight and quality control, it can result in multi-day

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Shared by AWS Machine Learning May 22, 2026

Build AI agents for business intelligence with Amazon Bedrock AgentCore

Favorite OPLOG, a technology-driven fulfillment company powered by AI and robotics, processes millions of items monthly across Türkiye, the United Kingdom, and Germany for major brands and global marketplaces. Operating a customer-agnostic fulfillment model where multiple brands share warehouse infrastructure, workers, and autonomous robots, OPLOG faced a challenge common to

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Shared by AWS Machine Learning May 22, 2026

Building multi-tenant agents with Amazon Bedrock AgentCore

Favorite Software as a service (SaaS) providers building multi-tenant agentic applications must address architectural challenges beyond the typical concerns of security, governance, and response accuracy. These include tenant isolation, tenant identity, tenant observability, data isolation, cost attribution, and noisy neighbor mitigation. Closing the gap between a working demo and a

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Shared by AWS Machine Learning May 22, 2026

Integrating AWS API MCP Server with Amazon Quick using Amazon Bedrock AgentCore Runtime

Favorite As your AWS infrastructure scales, operational workflows naturally grow more complex. SREs and DevOps Engineers spend significant time context-switching between the AWS Management Console, CLI documentation, and multiple service dashboards. They manually translate business questions into the correct API syntax, chain calls across services, and rebuild the same integration

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Shared by AWS Machine Learning May 22, 2026

Intelligent radiology workflow optimization with AI agents

Favorite Many healthcare organizations report that traditional worklist systems rely on rigid rules that ignore critical context, radiologist specialization, current workload, fatigue levels, and case complexity. This creates a persistent challenge: radiologists cherry-pick easier, higher-value cases while avoiding complex studies, leading to diagnostic delays and increased costs. Research across 62

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Shared by AWS Machine Learning May 22, 2026

Amazon Nova Act is now HIPAA eligible

Favorite Healthcare and life sciences (HCLS) organizations depend on repetitive, manual browser-based tasks for critical workflows like claims processing and referral coordination. While agentic AI can automate these workflows, compliance requirements under the Health Insurance Portability and Accountability Act (HIPAA) have limited adoption where electronically protected health information (ePHI) might

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Shared by AWS Machine Learning May 22, 2026

Build real-time voice applications with Amazon SageMaker AI and vLLM

Favorite Voice agents, live captioning, contact center analytics, and accessibility tools all depend on real-time speech-to-text, where your application streams audio in and receives transcription back simultaneously over a single persistent connection. Traditional request-response inference falls short here because transcription cannot begin until the entire audio recording has been received,

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Shared by AWS Machine Learning May 21, 2026