Practice
How AI actually ships: enterprise case studies, engineering lessons from production, adoption data and ROI evidence.
How AI actually ships: enterprise case studies, engineering lessons from production, adoption data and ROI evidence.
Latest in Practice
30 stories
How ONESTRUCTION built the Ishigaki-IDS foundation model with AWS GenAIIC
ONESTRUCTION, with technical advisory from the AWS Generative AI Innovation Center, built Ishigaki-IDS, a foundation model specialized for construction and BIM …

Deploying Anthropic Claude apps gateway for AWS for enterprise workloads
Claude apps gateway is a self-hosted governance layer between Claude Code and Claude Desktop and Amazon Bedrock or Claude Platform on AWS. This post presents a …

Looker’s semantic layer governs Gemini Enterprise data for user trust
For organizations deploying AI agents at scale, there’s often a critical divide between structured and unstructured data. While large language models (LLMs) exc…
Agentic AI and the future of global business services
Agentic AI is reshaping global business services, but realizing its potential will require leaders to rethink workflows, talent, and operating models.…
Author Talks: The biggest misconceptions about leadership
What if success depends less on talent than on luck, resilience, and your choices when things go wrong? Former Inflection CEO Mike Grossman challenges conventio…

How Malachyte solves retail’s cold-start problem with managed real-time AI
What’s the best way to recommend products to little-known users? We’ve spent our careers trying to solve this problem for major companies like Spotify and Price…

How WPP operationalizes platform and data engineering for AI marketing
Between chaotic levels of market fragmentation and economic volatility, marketing and communications agencies can no longer rely on the human intuition they’ve …

Google named a Leader in The Forrester Wave™: AI Platforms, Q3 2026
At Google Cloud, we help organizations of all sizes build and operationalize complex agentic workflows with total confidence. By combining world-class AI resear…

How nOps shipped FinOps agents 75% faster with Amazon Bedrock AgentCore
nOps rebuilt its Clara FinOps AI agent on Amazon Bedrock AgentCore, replacing a self-managed Amazon EKS stack running LangChain and LangGraph. The move cut time…

Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows
The Amazon SageMaker AI Spaces add-on for Amazon EKS runs managed JupyterLab and Code Editor environments on the cluster your ML team already operates. This pos…
Solutions for the Black maternal-health crisis
Joy Rhoden of the American Hospital Association discusses how data, community partnerships, expanded care teams, and a focus on addressing health disparities ar…

How and Why Netflix Built a Real-Time Distributed Graph: Part 3 — Querying the graph with gRPC…

Determining playoff clinching scenarios in the NHL using constraint programming
The AWS Generative AI Innovation Center built an automated system that uses constraint programming and custom tree search to determine, with mathematical certai…

How TReNDS automates root-cause analysis with Amazon Bedrock
TReNDS, a research center at Georgia State University, built an agentic AI pipeline on Amazon Bedrock and the open-source Strands Agents SDK that automatically …

How Cohere Health digitizes clinical policies using Amazon Bedrock AgentCore
In this post, you learn how Cohere Health built a multi-tenant agentic architecture on AgentCore using AgentCore Runtime’s secure MicroVM isolation, unified too…
How to close the agentic adoption gap
At their core, AI transformations are a reinvention of how work gets done. This requires change leadership, not just change management.…
AI fluency: The next foundation of US economic competitiveness
AI is advancing faster than organizations can adapt. Reaching the next productivity frontier will depend on workers across the economy acquiring the needed habi…
Are you settling for a ‘B+ life’?
Suzy Welch shares how to find a career that’s right for you.…

Securing AI agents with temporal policies in Amazon Bedrock AgentCore
Temporal policies in Amazon Bedrock AgentCore let you define stateful rules that evaluate authorization based on an agent's session history. Learn how to enforc…

Configure rate limits for AI traffic on AgentCore gateway
Learn how to configure rate limits on Amazon Bedrock AgentCore gateway to enforce per-user and per-target traffic controls. Define request, token, and connectio…

Your agentic summer: No-cost lessons from Google experts to build and scale agents
I’ve talked to developers, IT leaders, and builders who all ask the same question: How do we actually get agents into production? The answer isn't theoretical —…

Control agent behaviors and cost beyond a single action: new capabilities in Amazon Bedrock AgentCore
Learn about new capabilities in Amazon Bedrock AgentCore: temporal policies powered by Dogwood, a new open source policy language for AI agents, and rate limiti…

LLM optimization integration for Amazon SageMaker Python SDK
The Amazon SageMaker Python SDK v3 now exposes generative AI inference recommendations in Amazon SageMaker AI directly in your notebook. Benchmark an endpoint, …

Building an agentic app deployer with Amazon Bedrock and AWS Lambda
PDI Technologies built PDI Brew, an agentic platform on AWS where non-technical employees describe a tool in plain English and receive a fully provisioned, mult…

Agent Skills for Automated Reasoning policies in Amazon Bedrock
Learn how to run the full Amazon Bedrock Automated Reasoning policy lifecycle from your coding agent. A suite of open source Agent Skills builds, reviews, tests…

Enforcing data residency with single-Region Claude Code on Amazon Bedrock
A regulated customer needed all Claude Code inference processed in a single AWS Region (London), not just in-geography. This post shows two ways to pin Claude C…

Build visibility for Codex on Amazon Bedrock with OpenTelemetry and Amazon CloudWatch
As engineering teams adopt coding agents like Codex, leaders need visibility into adoption, consumption, and reliability. This post shows how to route Codex Ope…
Growth favors the bold: AI as force multiplier
Seven myths hamper growth in the new world of AI-driven growth. Overcoming them requires leaders to focus on redesigning how commercial decisions are made.…
How AI-enabled execution became Reckitt’s ‘tenfold game changer’
RGMx helped Reckitt improve pricing, promotions, and assortment. Smart Execution helps those choices land at the point of sale by using AI and data to strengthe…

Mirendil taps AI Hypercomputer TPUs and GPUs for pre- and post-training applications
Nearly every major AI lab uses Google Cloud infrastructure, including for training of models, inference for agents, and new frontier research. Google Cloud also…