How Hapag-Lloyd uses Amazon Bedrock to transform customer feedback into actionable insights
Hapag-Lloyd stands as one of the world’s leading liner shipping companies, operating […]
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Streamlining generative AI development with MLflow v3.10 on Amazon SageMaker AI
Today, we’re excited to announce that Amazon SageMaker AI MLflow Apps now […]
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Secure AI agents with Amazon Bedrock AgentCore Identity on Amazon ECS
AI agents in production require secure access to external services. Amazon Bedrock […]
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Intelligence-driven message defense and insights using Amazon Bedrock
Direct communication between buyers and sellers outside approved channels can result in […]
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Beyond BI: How the Dataset Q&A feature of Amazon Quick powers the next generation of data decisions
Business leaders across industries rely on operational dashboards as the shared source […]
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Introducing the agent performance loop: AgentCore Optimization now in preview
Generate recommendations from production traces, validate them with batch evaluation and A/B […]
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Agent-guided workflows to accelerate model customization in Amazon SageMaker AI
Every organization has access to the same foundation models. The real competitive […]
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Generate dashboards from natural language prompts in Amazon Quick
Building meaningful dashboards demands hours of manual setup, even for experienced BI […]
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Capacity-aware inference: Automatic instance fallback for SageMaker AI endpoints
As organizations scale generative AI workloads in production, securing reliable GPU compute […]
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Introducing Dataset Q&A: Expanding natural language querying for structured datasets in Amazon Quick
Every BI team knows this bottleneck: a business user has a question […]
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