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Category: Machine learning

April 27, 2026Machine learning

Build Strands Agents with SageMaker AI models and MLflow

Enterprises building AI agents often require more than what managed foundation model […]

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April 24, 2026Machine learning

Building Workforce AI Agents with Visier and Amazon Quick

Employees across every function are expected to make faster, better-informed decisions, but […]

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April 23, 2026Machine learning

Amazon Quick for marketing: From scattered data to strategic action

Imagine the following scenario: You’re leading marketing campaigns, creating content, or driving […]

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April 23, 2026Machine learning

Applying multimodal biological foundation models across therapeutics and patient care

Healthcare and life sciences decision making increasingly relies on multimodal data to […]

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April 22, 2026Machine learning

Cost-effective multilingual audio transcription at scale with Parakeet-TDT and AWS Batch

Many organizations are archiving large media libraries, analyzing contact center recordings, preparing […]

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April 22, 2026Machine learning

Get to your first working agent in minutes: Announcing new features in Amazon Bedrock AgentCore

Getting an agent running has always meant solving a long list of […]

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April 22, 2026Machine learning

Amazon SageMaker AI now supports optimized generative AI inference recommendations

Organizations are racing to deploy generative AI models into production to power […]

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April 22, 2026Machine learning

Company-wise memory in Amazon Bedrock with Amazon Neptune and Mem0

This post is cowritten by Shawn Tsai from TrendMicro. Delivering relevant, context-aware […]

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April 21, 2026Machine learning

From developer desks to the whole organization: Running Claude Cowork in Amazon Bedrock

Today, we’re excited to announce Claude Cowork in Amazon Bedrock. You can […]

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April 21, 2026Machine learning

End-to-end lineage with DVC and Amazon SageMaker AI MLflow apps

Production machine learning (ML) teams struggle to trace the full lineage of […]

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