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AWS named a Leader in the 2026 Gartner Magic Quadrant for Contact Center as a Service
AWS has been named a Leader in the 2026 Gartner Magic Quadrant for Contact Center as a Service (CCaaS) for AWS Connect Customer. This recognition marks an important milestone for our team, and it reflects years of work pushing on what's pos
AWS 人工智能 · Published 10/28/2026, 02:03Announcing 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
AWS 人工智能 · Published 10/28/2026, 01:00Fix 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
AWS 人工智能 · Published 10/28/2026, 00:53Exowatt 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
AWS 人工智能 · Published 10/28/2026, 00:50Fleet-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
AWS 人工智能 · Published 10/27/2026, 01:56Groundhog 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
AWS 人工智能 · Published 10/27/2026, 01:27Build 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
AWS 人工智能 · Published 10/27/2026, 01:15Multi-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
AWS 人工智能 · Published 10/24/2026, 01:48Orchestrating SageMaker AI endpoint auto scaling with AWS CDK
Updating a SageMaker AI endpoint that has Application Auto Scaling registered makes AWS CloudFormation and AWS CDK deployments fail. This post shows how to build a reusable AWS CDK construct with CloudFormation custom resources that deregis
AWS 人工智能 · Published 10/24/2026, 00:30Visualize 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
AWS 人工智能 · Published 10/24/2026, 00:24How 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
AWS 人工智能 · Published 10/24/2026, 00:21Amazon Polly delivers a major upgrade to its Generative engine
The Amazon Polly Generative engine gets a major upgrade: more expressive, more accurate speech with low latency, plus 14 new voices across 9 locales and general availability of Hindi and Finnish. This drop-in upgrade requires no code change
AWS 人工智能 · Published 10/23/2026, 02:06How 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
AWS 人工智能 · Published 10/23/2026, 02:01Announcing 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)
AWS 人工智能 · Published 10/23/2026, 02:00Write 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
AWS 人工智能 · Published 10/23/2026, 02:00Deploy 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
AWS 人工智能 · Published 10/23/2026, 01:48Stream 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
AWS 人工智能 · Published 10/23/2026, 01:45Stop 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
AWS 人工智能 · Published 10/23/2026, 00:30How 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
AWS 人工智能 · Published 10/23/2026, 00:25Securing 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
AWS 人工智能 · Published 10/22/2026, 07:385 production challenges in multi-agent systems and how Deep Insight solved them
Many teams build a multi-agent AI prototype in days but hit a wall in production. This post defines five production challenges (orchestration, per-agent model selection, reliable operation, secure code execution, and monitoring) and shows h
AWS 人工智能 · Published 10/22/2026, 07:36Adaptive agentic intelligence framework using Strands Agents
The Adaptive Agentic Intelligence Framework (AAIF), built with Strands Agents, handles routine tasks locally with small language models and routes complex requests to cloud models through Amazon Bedrock. This post walks through building AAI
AWS 人工智能 · Published 10/22/2026, 05:23Train Qwen3 on AWS Trainium with torchtitan
Train Qwen3 on AWS Trainium with torchtitan three ways on a single trn2.48xlarge: the Hugging Face Transformers v5 modeling backend, torchtitan's native Qwen3, and NKI mixture-of-experts kernels. The same torchrun launcher and config struct
AWS 人工智能 · Published 10/22/2026, 04:00How U.S. Hunger connects leaders and data using Amazon Quick
U.S. Hunger, a nonprofit addressing food insecurity, uses Amazon Quick to connect organizational data with leadership decisions. Leaders explore applicant data directly, share KPI definitions and financial context in Quick Spaces, and inves
AWS 人工智能 · Published 10/22/2026, 03:19
