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Category: Machine learning

March 31, 2026Machine learning

Building an AI powered system for compliance evidence collection

Compliance audits require comprehensive evidence trails, often involving hundreds of screenshots across […]

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March 31, 2026Machine learning

Build a FinOps agent using Amazon Bedrock AgentCore

Managing costs across multiple AWS accounts often requires finance teams to query […]

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March 31, 2026Machine learning

AWS launches frontier agents for security testing and cloud operations

I’m excited to announce that AWS Security Agent on-demand penetration testing and […]

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March 31, 2026Machine learning

Can your governance keep pace with your AI ambitions? AI risk intelligence in the agentic era

DevOps used to be predictable: same input, same output, binary success, static […]

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March 30, 2026Machine learning

Reimagine marketing at Volkswagen Group with generative AI

This post is cowritten by  Sebastian Angersbach, Philip Trempler, and Weiran Zhang […]

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March 30, 2026Machine learning

How Ring scales global customer support with Amazon Bedrock Knowledge Bases

This post is cowritten with David Kim, and Premjit Singh from Ring. […]

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March 30, 2026Machine learning

Deliver hyper-personalized viewer experiences with an agentic AI movie assistant using Amazon Bedrock AgentCore and Amazon Nova Sonic 2.0

Deliver hyperpersonalized viewer experiences with an agentic AI movie assistant using Amazon […]

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March 30, 2026Machine learning

Build a solar flare detection system on SageMaker AI LSTM networks and ESA STIX data

The effective monitoring and characterization of solar flares demands sophisticated analysis of […]

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March 26, 2026Machine learning

Run Generative AI inference with Amazon Bedrock in Asia Pacific (New Zealand)

Kia ora! Customers in New Zealand have been asking for access to […]

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March 26, 2026Machine learning

Introducing Amazon Polly Bidirectional Streaming: Real-time speech synthesis for conversational AI

Building natural conversational experiences requires speech synthesis that keeps pace with real-time […]

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