How Decathlon runs demand forecasting at scale with Chronos-2
This post is co-written with Vianney Bruned, Filippo Giruzzi, Belkiss Saidi, and […]
Read moreCategory: Machine learning
Spreading the load: How Salesforce met Multi-AZ HA with SageMaker Inference Components
When Salesforce set out to make Agentforce (Salesforce’s AI foundation for agents) […]
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Build agentic creative workflows with Amazon Quick and fal
Creative teams face growing demand for more assets, formats, and revisions, while […]
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Introducing India cross-Region inference for OpenAI GPT-5.6 models on Amazon Bedrock
Amazon Bedrock now supports the OpenAI GPT-5.6 models, Terra and Luna, in […]
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Deepgram deepens Amazon SageMaker AI observability with Enhanced Metrics
Self-hosted speech AI has historically carried an observability trade-off. The service can […]
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Reduce ASR inference costs by 75% with NVIDIA MPS on Amazon EC2
This post is a collaboration between AWS, NVIDIA and Heidi. Reducing automatic speech […]
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Evaluate any agent framework with Amazon Bedrock AgentCore Evaluations
AI teams building production agents face a frustrating asymmetry: the diversity of […]
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Natera’s intelligent appointment scheduling with Amazon Bedrock AgentCore
Booking a phlebotomy appointment shouldn’t be a hassle for oncology patients already […]
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How GoDaddy transformed its analytics with Amazon Quick
GoDaddy is one of the world’s largest domain registrar and web hosting […]
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Preparing data for supervised fine-tuning Part 1: Formatting and quality
Data preparation determines the ceiling of any supervised fine-tuning (SFT) project. You’ve […]
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