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Build Strands Agents with SageMaker AI models and MLflow

Build Strands Agents with SageMaker AI models and MLflow

Enterprises building AI agents often require more than what managed foundation model (FM) services can provide. They need precise control over performance tuning, cost optimization at scale, compliance and data residency, model selection, and networking configurations that integrate with existing security architectures. Amazon SageMaker AI endpoints align with these requirements by giving organizations control over …

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How Popsa used Amazon Nova to inspire customers with personalised title suggestions

How Popsa used Amazon Nova to inspire customers with personalised title suggestions

This post was co-written with Bradley Grantham and Hugo Dugdale from Popsa. Popsa is a technology company that helps users rediscover and relive the meaningful memories hidden in their photo libraries. Available across more than 50 countries and 12 languages, we use design automation and AI to transform everyday photos into personal, shareable experiences, including …

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Building Workforce AI Agents with Visier and Amazon Quick

Building Workforce AI Agents with Visier and Amazon Quick

Employees across every function are expected to make faster, better-informed decisions, but the information that they need rarely lives in one place. Workforce intelligence (who is in your organization, how they are performing, and where the gaps are) is one of the most valuable signals an enterprise has, and platforms like Visier are purpose-built to …

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Amazon Quick for marketing: From scattered data to strategic action

Amazon Quick for marketing: From scattered data to strategic action

Imagine the following scenario: You’re leading marketing campaigns, creating content, or driving demand generation. Your campaigns are scattered and your insights are buried. By the time you’ve pieced together what’s working, the moment to act has already passed. This isn’t a tools problem because you have plenty of those. It’s a connection problem. Your marketing …

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Applying multimodal biological foundation models across therapeutics and patient care

Applying multimodal biological foundation models across therapeutics and patient care

Healthcare and life sciences decision making increasingly relies on multimodal data to diagnose diseases, prescribe medicine and predict treatment outcomes, develop and optimize innovative therapies accurately. Traditional approaches analyze fragmented data, such as ‘omics for drug discovery, medical images for diagnostics, clinical trial reports for validation, and electronic health records (EHR) for patient treatment. As …

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

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 training data for AI, or processing on-demand video for subtitles. When data volumes grow significantly, managed automatic speech recognition (ASR) service costs can quickly become the primary constraint on scalability. To address this cost-scalability challenge, we use the NVIDIA Parakeet-TDT-0.6B-v3 model, deployed through …

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