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  • Introducing Claude Opus 5 on AWS: Anthropic’s most capable Opus model

    calendar Jul 24, 2026 · aws.amazon.com/blogs/machine-learning
    Introducing Claude Opus 5 on AWS: Anthropic’s most capable Opus model

    This post covers Opus 5’s improvements and practical guidance for AI engineers integrating the model into agentic systems and production inference workloads on Amazon Bedrock. See the documentation for Claude Platform on AWS. Link to article: …


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  • Build an explainable next-best-product recommendation system for banking on AWS

    calendar Jul 24, 2026 · aws.amazon.com/blogs/machine-learning
    Build an explainable next-best-product recommendation system for banking on AWS

    Learn the architecture and design decisions behind an explainable next-best-product recommendation system for banking, built with Amazon SageMaker AI and PyTorch. A multi-tower neural network with learned attention delivers accurate, per-customer recommendations while providing the explainability that banking …


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  • Get started with OpenAI GPT-5.6 Sol, Terra, and Luna on Amazon Bedrock

    calendar Jul 24, 2026 · aws.amazon.com/blogs/machine-learning
    Get started with OpenAI GPT-5.6 Sol, Terra, and Luna on Amazon Bedrock

    OpenAI GPT-5.6 Sol, Terra, and Luna are now generally available on Amazon Bedrock. Learn how to select a model, run inference through the Responses API on the bedrock-mantle endpoint, reduce cost with prompt caching, connect the OpenAI Codex coding agent, and plan for quotas and scaling. Link to article: …


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  • Best practices for applying Amazon Bedrock Guardrails to code generation workflows

    calendar Jul 23, 2026 · aws.amazon.com/blogs/machine-learning
    Best practices for applying Amazon Bedrock Guardrails to code generation workflows

    In this post, we explain how Amazon Bedrock Guardrails can be configured for code generation workflows with coding assistants to overcome these constraints. With these best practices, you can build an efficient blueprint helping you with effective capacity planning with robust safety coverage. Link to article: …


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  • Evaluating AI Agents: A production blueprint with Strands and AgentCore

    calendar Jul 23, 2026 · aws.amazon.com/blogs/machine-learning
    Evaluating AI Agents: A production blueprint with Strands and AgentCore

    Together, Motorway and AWS built an end-to-end evaluation pipeline that reduced incorrect results from 1 in 8 queries to 1 in 50 and cut issue detection time from few hours to few minutes. The pipeline combines the Strands Agents SDK with Amazon Bedrock AgentCore, a fully managed service for deploying and operating AI …


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  • Building trade assistant: How Jefferies optimized front office trading operations with AI

    calendar Jul 23, 2026 · aws.amazon.com/blogs/machine-learning
    Building trade assistant: How Jefferies optimized front office trading operations with AI

    In this post, we explore how Jefferies overcame these challenges with a solution built on Strands Agents, an agent harness SDK for building AI agents that can reason, plan, and act by orchestrating calls to foundation models (FMs) and external tools. The solution uses large language models (LLMs), Amazon Bedrock, and …


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  • Building multi-Region visualizations with Highcharts in Amazon Quick

    calendar Jul 23, 2026 · aws.amazon.com/blogs/machine-learning
    Building multi-Region visualizations with Highcharts in Amazon Quick

    This post shows you how to build multi-Region carrier performance dashboards in Quick Sight using Highcharts custom visualizations to overcome native chart limitations. You will learn how to maintain data sovereignty across AWS Regions while creating unified visualizations through the Quick Sight federated dataset …


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  • Detecting silent agent failures with Amazon Bedrock AgentCore optimization

    calendar Jul 23, 2026 · aws.amazon.com/blogs/machine-learning
    Detecting silent agent failures with Amazon Bedrock AgentCore optimization

    Amazon Bedrock AgentCore optimization surfaces silent behavioral failures in production AI agents: the ones that pass every health check but still deliver wrong outcomes. Learn how insights discovers, explains, and ranks failure patterns across sessions so you can fix the highest-impact issues first. Link to article: …


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  • Agentic retrieval for Amazon Bedrock Managed Knowledge Base

    calendar Jul 23, 2026 · aws.amazon.com/blogs/machine-learning
    Agentic retrieval for Amazon Bedrock Managed Knowledge Base

    This post focuses on why classic retrieval falls short on multi-part questions, how the AgenticRetrieveStream API works (including request construction and trace parsing), and when to choose it over the standard Retrieve API. Link to article: …


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  • AI Teammates: how monday.com runs production AI agents on Amazon Bedrock

    calendar Jul 22, 2026 · aws.amazon.com/blogs/machine-learning
    AI Teammates: how monday.com runs production AI agents on Amazon Bedrock

    AI Teammates are agentic AI on Amazon Bedrock, and few engineering organizations run them in production at the scale that monday.com does. Nine in ten Builders use AI coding tools every month, up from roughly half a year ago. Per-engineer PR throughput is up by more than half. Every figure in this post comes from …


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  • Exploring self-distilled reasoning for supervised fine-tuning with Amazon Nova

    calendar Jul 21, 2026 · aws.amazon.com/blogs/machine-learning
    Exploring self-distilled reasoning for supervised fine-tuning with Amazon Nova

    In this post, we explore an idea for generating thinking tokens for datasets that lack reasoning traces in SFT customization. We first examine the reasoning suppression problem, then introduce Self-Distilled Reasoning (SDR), validate it across three benchmarks, and provide practical recommendations. Link to article: …


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  • Custom OS installation now available on AWS DeepRacer devices

    calendar Jul 20, 2026 · aws.amazon.com/blogs/machine-learning
    Custom OS installation now available on AWS DeepRacer devices

    With the stock firmware and software, developers couldn't modify their AWS DeepRacer devices to use the latest operating systems. Now, developers can upgrade or install a custom operating system (OS) by using a newly released bootloader, which extends the life of these hardware devices. In this post, we introduce the …


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  • Build specialized agent workflows for your business with Amazon Quick and NVIDIA NeMo Agent Toolkit

    calendar Jul 20, 2026 · aws.amazon.com/blogs/machine-learning
    Build specialized agent workflows for your business with Amazon Quick and NVIDIA NeMo Agent Toolkit

    In this post, we show how Amazon Quick can serve as the business-user front door for specialized agent workflows. We use the NVIDIA NeMo Agent Toolkit to build a supply-chain risk example that helps a planner move from an Amazon Quick dashboard and knowledge context to a guided mitigation recommendation. Link to …


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  • How Couchbase built a multi-model AI architecture for Capella iQ with Amazon Bedrock

    calendar Jul 20, 2026 · aws.amazon.com/blogs/machine-learning
    How Couchbase built a multi-model AI architecture for Capella iQ with Amazon Bedrock

    This post describes how Couchbase adopted Amazon Bedrock to power Capella iQ with Anthropic’s Claude family of models, the architectural decisions behind their multi-model approach, and the operational benefits realized in production. Link to article: …


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  • Evolving from legacy BI to agentic AI at Tradeshift with Amazon Quick

    calendar Jul 20, 2026 · aws.amazon.com/blogs/machine-learning
    Evolving from legacy BI to agentic AI at Tradeshift with Amazon Quick

    In this post, we describe how Tradeshift deployed Amazon Quick with agentic AI capabilities to replace our legacy BI tool, resulting in query response times up to 30 times faster, a 40 percent reduction in total cost of ownership, and turned embedded analytics into a product that generates revenue. Link to article: …


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