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Generate dashboards from natural language prompts in Amazon Quick

Favorite Building meaningful dashboards demands hours of manual setup, even for experienced BI professionals. Amazon Quick now generates complete multi-sheet dashboards from natural language prompts, taking you from one or more datasets to a production-ready analysis in minutes. Data analysts building recurring operations reports, program managers preparing a leadership review, or

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Shared by AWS Machine Learning May 4, 2026

Agent-guided workflows to accelerate model customization in Amazon SageMaker AI

Favorite Every organization has access to the same foundation models. The real competitive advantage comes from customizing them with your proprietary data and domain expertise. But getting there is complex, even for experienced teams. It requires mastering fine-tuning techniques like Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and Reinforcement Learning

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Shared by AWS Machine Learning May 4, 2026

AWS Transform now automates BI migration to Amazon Quick in days

Favorite Migrating to Amazon Quick doesn’t have to mean starting from scratch. Your dashboards encode hard-won domain knowledge: calculated fields your analysts perfected, layouts your executives rely on every Monday morning, security rules tuned to your org chart. You want AI-powered insights and serverless scale, but you’re staring at hundreds

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Shared by AWS Machine Learning May 1, 2026

Configuring Amazon Bedrock AgentCore Gateway for secure access to private resources

Favorite AI agents in production environments often need to reach internal APIs, databases, and private resources that sit behind Amazon Virtual Private Cloud (Amazon VPC) boundaries. Managing private connectivity for each agent-to-tool path adds operational overhead and slows deployment. Amazon Bedrock AgentCore VPC connectivity is designed to deploy AI agents

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Shared by AWS Machine Learning April 30, 2026

Unleashing Agentic AI Analytics on Amazon SageMaker with Amazon Athena and Amazon Quick

Favorite Modern enterprises face mounting challenges in extracting actionable insights from vast data lakes and lakehouses spanning petabytes of structured and unstructured data. Traditional analytics require specialized technical expertise in SQL, data modeling, and business intelligence tools, creating bottlenecks that slow decision-making across retail, financial services, healthcare, Travel & Hospitality,

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Shared by AWS Machine Learning April 30, 2026

Sun Finance automates ID extraction and fraud detection with generative AI on AWS

Favorite This post was co-authored with Krišjānis Kočāns, Kaspars Magaznieks, Sergei Kiriasov from Sun Finance Group If you process identity documents at scale—loan applications, account openings, compliance checks—you’ve likely hit the same wall: traditional optical character recognition (OCR) gets you partway there, but extraction errors still push a large share

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Shared by AWS Machine Learning April 30, 2026