Cross-border intelligence

After reading through 1,700+ Amazon reviews one by one, he handed this method to AI

From product innovation and user review analysis to digital employees, AI is changing how companies grow.

Amazon Tells Engineers Outcomes, Not Tokenmaxxing, Define AI Success

For software engineers and managers, the way to determine good artificial intelligence (AI)-powered engineering practices is through long-term outcomes, Terk Terkowitz, vice president and distinguished engineer, Worldwide Amazon Stores, wro

Amazon Business targets procurement efficiency with new AI and reporting features

Almost one year after Amazon Business unveiled its Amazon Business Assistant in 2025, the business-to-business (B2B)-focused side of Amazon announced two ways in which it will seek to improve procurement for the buyers that it serves. The n

Announcing SOCI-indexed images for faster SageMaker AI jobs

Seekable OCI (SOCI) indexing for Amazon SageMaker AI training and processing jobs takes full container image download off the critical path. SageMaker AI lazy-loads your image to start containers in seconds instead of minutes, with no chang

Fix evaluation bias to unlock better models on Amazon Bedrock

Property Finder found that 96.8% of their vision-AI evaluation labels were inherited from the incumbent model, hiding its true accuracy. See how they built unbiased ground truth, applied evolutionary prompt optimization, and selected a more

Exowatt beats frontier models on accuracy with SageMaker serverless model customization

In this post, we show how Exowatt used Amazon SageMaker AI serverless model customization to build a repeatable AI pipeline that produces task-specific fine-tuned models for two deployment targets, edge and cloud, achieving higher accuracy

In 2027, start a global business with Amazon and AI

Amazon launches seller workflow AI—AI can already handle these 5 tasks for you

Will operations roles be replaced?

Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3

Fleet-wide computer vision needs a model per camera, not one model for the whole fleet. This post presents a working Amazon SageMaker SDK v3 reference architecture that trains, quality-gates, compiles per-camera models with SageMaker Neo, a

Groundhog Day for AI agents: Prompt caching patterns for using OpenAI models on Amazon Bedrock

Every time an agent takes a step, it re-reads its entire context before acting. Here is how prompt caching for OpenAI models on Amazon Bedrock lets your agent remember, cutting input cost and latency without resending the same tools, instru

Build agentic retrieval on a Managed Amazon Bedrock Knowledge Base with CDK

Build enterprise agentic retrieval on a Managed Amazon Bedrock Knowledge Base with the AWS CDK: an agent that routes across two knowledge bases, retrieves through the AgentCore Gateway, and returns grounded, cited answers, with seven layers

Multi-Turn Reinforcement Learning on Amazon SageMaker AI: A hands-on guide

Multi-Turn Reinforcement Learning (MTRL) on Amazon SageMaker AI trains models on the outcome of a whole multi-step task rather than labeled steps. This hands-on guide walks the full pipeline using Wordle: deploying the agent and reward on A

Visualize points and routes with GeoJSON in Amazon Quick Sight layer maps

Amazon Quick Sight layer maps now support Point and LineString geometry from the same GeoJSON workflow, so you can plot store locations and the routes between them. This post covers the dataset and GeoJSON structure layer maps require, when

How Bayer Crop Science built an agentic decision engine on Amazon Bedrock AgentCore with AWS Unified Operations

Bayer Crop Science built the Agentic Decision Engine (ADE), a multi-agent platform on Amazon Bedrock AgentCore that lets breeders, analysts, and researchers ask natural language questions about their analytics platform. This post covers the

Amazon Bee Frontier and Bee Eclipse Wearable AI assistants

Amazon have released two new AI devices, one which you literally wear and one that clips to your smartphone. They can listen in to your conversations and remember the important points and turn the details into summaries, to do lists, or eve

How IskayPet unified corporate knowledge with Amazon Bedrock Managed Knowledge Bases

Learn how IskayPet, a leading pet care company in Iberia, built a multilingual corporate knowledge assistant on Amazon Bedrock Managed Knowledge Bases. The assistant answers employee questions across retail, veterinary, onboarding, and proc

Announcing new ways to customize models with SageMaker AI, without managing GPUs

Amazon SageMaker AI serverless model customization now includes training sessions, generally available today. You write and coordinate your own post-training loop (custom loss functions, reward signals, or multi-turn reinforcement learning)

Write your own training loop — without managing GPUs — with Amazon SageMaker training session APIs

Amazon SageMaker AI training session APIs let you write your own LLM training loop (SFT, RL, or custom objectives) in a Python script while the service runs the GPUs. This post introduces the programming model and three SDK clients, then wa

Deploy AI in a HIPAA-eligible environment with Amazon Quick

Amazon Quick is a HIPAA-eligible service, but eligibility is not the same as compliance. This post explains who HIPAA applies to, how PHI flows through Amazon Quick, what the platform provides for regulated environments, and a step-by-step

Stream low-latency speech from AI agents using Kokoro TTS on Amazon SageMaker AI

Voice agents often wait for an agent's full response before starting speech synthesis, adding latency users feel directly. This post shows how to stream each sentence to a Kokoro-82M text-to-speech model on Amazon SageMaker AI as the agent

Stop guessing auto scaling targets for TTS on Amazon SageMaker AI

Teams deploying custom text-to-speech models on Amazon SageMaker AI often guess at autoscaling thresholds, and a wrong guess either wastes GPU spend or breaches a latency SLO. This post deploys Kokoro-82M as a custom container and derives a

How Rescale built an AI triage agent with Strands Agents and AI-DLC

Rescale used the AI-Driven Development Lifecycle (AI-DLC) framework on AWS, with Strands Agents and Amazon Bedrock, to build an intelligent test-triage agent in weeks. Learn how AI-DLC structures AI-assisted development and how Rescale is s

Walmart and Amazon Expand AI Agents’ Roles in Shopping and Work

It was a big week for agentic artificial intelligence at Walmart and Amazon as the two companies outlined plans to capitalize on the technology’s momentum among consumers and enterprises. Walmart announced tools that will let customers auth

Securing Quick access from corporate networks with AWS PrivateLink

Learn how to connect on-premises data sources to Amazon Quick privately with AWS PrivateLink, keeping analytics traffic off the public internet. This walkthrough covers VPC endpoints for user and API access, VPC connections for data sources