Practice

Connect Amazon Bedrock AgentCore to cross-account knowledge bases

Learn how Amazon Bedrock AgentCore agents in one account can generate answers from an Amazon Bedrock knowledge base backed by Amazon Redshift Serverless in anot…

Preparing data for supervised fine-tuning Part 1: Formatting and quality

Data preparation determines the ceiling of any supervised fine-tuning project. This first post in a two-part series covers the foundations of SFT data prep: qua…

Preparing data for supervised fine-tuning Part 2: Advanced data strategies

The advanced side of supervised fine-tuning data prep. This second post in a two-part series covers evaluating data readiness with learning curves, selecting hi…

Bring your own model with Amazon SageMaker AI: Script mode in SDK v3

The SageMaker Python SDK v3 redesigns script mode with unified ModelTrainer and ModelBuilder classes. This post walks through two end-to-end examples, a scikit-…

FinOps for the AI era: New flexible billing and cost controls for agents

As AI takes on more complex work, business leaders face a new challenge: enabling rapid innovation using agents while protecting their margins and budgets. To g…

Agentic observability with Amazon OpenSearch Service MCP Apps

Amazon OpenSearch Service now supports MCP Apps, which return interactive visualizations alongside your AI agent's text responses. Learn how a single, locally r…

Can upstream oil and gas produce value from AI’s $230 billion pay zone?

AI could unlock $230 billion for oil and gas and OFSE companies. The challenge is where to concentrate, how to scale, and how to share value when efficiency red…

Governed reports with Amazon Quick Desktop and Amazon FSx for NetApp ONTAP

Build a governed weekly reporting workflow with Amazon Quick Desktop and Amazon FSx for NetApp ONTAP. An Amazon S3 access point exposes an approved folder to a …

McKinsey’s Fangning Zhang on China’s growing role in life sciences R&D

McKinsey partner Fangning Zhang discusses what’s driving China’s acceleration in drug discovery, why intense competition is fueling speed and cost efficiency, a…

Now introducing Gemini Enterprise for Legal

Few professions are as exacting as the practice of law. A team reviewing a contract or building a case works inside strictly privileged information, firm-specif…

Now introducing Gemini Enterprise for Financial Services

Protecting capital in today's markets requires immense speed and precision. A financial analyst preparing a deal memo works across licensed market data, interna…

The state of AI in 2026: On the road to ROI

Organizations are deploying agentic coding tools and coming to grips with the costs of AI while still seeking to capture more of the benefits that their workers…

Where AI agents pay off: A practical guide to the economics of agentic workflows

Early experience implementing agentic workflows highlights emerging trade-offs that frontline leaders need to understand.…

Democratizing institutional knowledge: Building an AI-powered knowledge management system with AWS

Learn how to build a customizable, smart-caching knowledge management system on AWS that captures and delivers institutional (tribal) knowledge through a voice-…

Introducing new Ray capabilities on SageMaker HyperPod

Amazon SageMaker HyperPod now offers managed Ray support on Amazon EKS. Create and monitor Ray clusters, connect JupyterLab and Code Editor notebooks to live cl…

AI-powered metadata correction and harmonization

Metadata harmonization (standardizing labels, identifiers, and formats so datasets can work together) is still largely manual. This post shows how AI-powered me…

Building a restaurant telephony AI host with Amazon Connect

Learn how to build a voice ordering system for restaurants that answers a phone call and takes an order end to end, with no app, no website, and no sign-in. It …

Agentic Resource Discovery (ARD): An open specification for agent discovery

AWS Agent Registry gives your organization a centralized, searchable catalog for agents, tools, and skills. It works with the open Agentic Resource Discovery (A…

How agents can delegate better

In any organizational behavior class, students will learn that effective delegation is among the most important skills for a seasoned leader. Getting meaningful…

Cloud CISO Perspectives: Sticking to security fundamentals in the AI era

Welcome to the first Cloud CISO Perspectives for August 2026. Today, Chris Betz explains why the AI era makes it more important than ever to lean into security …

A Tale of Two Flink Autoscalers

Accelerating aircraft IFEC diagnostics with agentic AI on AWS

Panasonic Avionics worked with AWS and the AWS Generative AI Innovation Center to build an agentic AI system on Amazon Bedrock, Amazon SageMaker, and AWS Glue t…

Reduce RAG costs on Amazon Bedrock with query-aware compression

Input tokens are often a meaningful part of the cost of running Retrieval Augmented Generation (RAG) at scale. This post describes a query-aware context compres…

Govern AI agent tool access with Amazon Bedrock AgentCore Gateway

Give your AI agents governed, auditable access to enterprise tools without consolidating infrastructure. This post walks through a four-scope maturity model (Co…

Agentic Data Operations Platform (ADOP): Data engineering into hours

The Agentic Data Operations Platform (ADOP) is a reference architecture on Amazon Bedrock that uses specialized AI agents to automate the full Bronze-to-Silver-…

Beyond the copilot: Scaling the agentic product development life cycle

Only a few software teams are seeing real impact from incorporating AI. The key is launching an AI-driven redesign of the entire product development system, rat…

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 3: Visualizing insights with Amazon Quick Sight

In Part 3 of this no-code ML series, you bring fraud detection predictions to life. Import your Amazon SageMaker Canvas predictions into Amazon Quick Sight, bui…

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 2: Data preparation and model building with Amazon SageMaker Canvas

In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformatio…

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment

Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this ser…

Introducing cross-Region inference for OpenAI GPT-5.6 models on Amazon Bedrock

Amazon Bedrock now offers OpenAI GPT-5.6 models (Sol, Terra, and Luna) in more than 25 AWS Regions with cross-Region inference. Learn how US geographic and glob…