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Category: Machine learning

June 10, 2025Machine learning

How E.ON saves £10 million annually with AI diagnostics for smart meters powered by Amazon Textract

E.ON—headquartered in Essen, Germany—is one of Europe’s largest energy companies, with over […]

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June 10, 2025Machine learning

Build responsible AI applications with Amazon Bedrock Guardrails

As organizations embrace generative AI, they face critical challenges in making sure […]

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June 10, 2025Machine learning

Automate customer support with Amazon Bedrock, LangGraph, and Mistral models

AI agents are transforming the landscape of customer support by bridging the […]

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June 9, 2025Machine learning

How Kepler democratized AI access and enhanced client services with Amazon Q Business

This is a guest post co-authored by Evan Miller, Noah Kershaw, and […]

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June 9, 2025Machine learning

Stream multi-channel audio to Amazon Transcribe using the Web Audio API

Multi-channel transcription streaming is a feature of Amazon Transcribe that can be […]

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June 9, 2025Machine learning

Building intelligent AI voice agents with Pipecat and Amazon Bedrock – Part 1

Voice AI is transforming how we interact with technology, making conversational interactions […]

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June 6, 2025Machine learning

Build a Text-to-SQL solution for data consistency in generative AI using Amazon Nova

Businesses rely on precise, real-time insights to make critical decisions. However, enabling […]

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June 6, 2025Machine learning

Multi-account support for Amazon SageMaker HyperPod task governance

GPUs are a precious resource; they are both short in supply and […]

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June 6, 2025Machine learning

Implement semantic video search using open source large vision models on Amazon SageMaker and Amazon OpenSearch Serverless

As companies and individual users deal with constantly growing amounts of video […]

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June 6, 2025Machine learning

Build a serverless audio summarization solution with Amazon Bedrock and Whisper

Recordings of business meetings, interviews, and customer interactions have become essential for […]

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