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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.

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

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 b…

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

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 PyTorc…

How AI agents can help FP&A better steer the business
Practice

How AI agents can help FP&A better steer the business

AI makes continuous financial planning practical at scale. Organizations can identify risks sooner, evaluate trade-offs faster, and intervene before performance…

Author Talks: Why founders misunderstand customer demand
Practice

Author Talks: Why founders misunderstand customer demand

Why do so many promising products fail to gain traction? A McKinsey alumnus explains why conventional thinking leads founders astray—and shares a practical fram…

The human advantage in an AI economy
Practice

The human advantage in an AI economy

Tech investment alone won’t deliver a competitive edge. Organizations need systems that strengthen both brain health and AI-era skills so people can keep up wit…

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

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. Wit…

An opinionated guide to which AI to use to do stuff
Practice

An opinionated guide to which AI to use to do stuff

The Summer 2026 Edition…

The Blueprint: How Voicify makes AI-enabled ordering a delight for customers
Practice

The Blueprint: How Voicify makes AI-enabled ordering a delight for customers

Welcome to The Blueprint, a new feature where we highlight how Google Cloud customers are tackling unique and common challenges across industries using the late…

Agentic retrieval for Amazon Bedrock Managed Knowledge Base
Practice

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 trac…

Detecting silent agent failures with Amazon Bedrock AgentCore optimization
Practice

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…

Building multi-Region visualizations with Highcharts in Amazon Quick
Practice

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 limi…

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

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 r…

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

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 fr…

Break to grow: Sanjiv Bajaj’s guiding business principle
Practice

Break to grow: Sanjiv Bajaj’s guiding business principle

Guided by his leadership North Star of “performing for today while transforming for tomorrow,” Sanjiv Bajaj believes in breaking businesses to grow, while foste…

How AI will reshape the economics of insurance: A CEO’s guide to strategy
Practice

How AI will reshape the economics of insurance: A CEO’s guide to strategy

AI could upend the industry’s long-standing structures and dynamics. Competitive advantage will accrue to carriers, distributors, and tech providers that prepar…

How Montefiore Einstein turned technology into enterprise value
Practice

How Montefiore Einstein turned technology into enterprise value

The academic and safety-net hospital system is transforming technology into a driver of patient access, operational reliability, and business growth. By strengt…

A Unified OS for Drug Development: Our Investment in Cheiron
Practice

A Unified OS for Drug Development: Our Investment in Cheiron

Drug development is one of the hardest problems in the world. It takes a decade, costs billions, and fails 90% of the time. Much of this is a natural consequenc…

Chokepoints: How to respond when the global economy gets squeezed
Practice

Chokepoints: How to respond when the global economy gets squeezed

As the situation in the Strait of Hormuz makes clear, business success increasingly depends on managing global disruption and risk in a three-dimensional way: r…

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

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 …

Evolving model risk management in the age of AI
Practice

Evolving model risk management in the age of AI

Our recent survey reveals how banks are evolving model risk management: by strengthening resilience, unlocking more confident AI adoption—and turning it into a …

Powering supply chain with agentic AI
Practice

Powering supply chain with agentic AI

Agentic AI could fundamentally reshape supply chain operations, but realizing its potential will require companies to move beyond isolated use cases and orchest…

Becoming an AI-native telco: Indosat Ooredoo Hutchison reimagines the telecom of the future
Practice

Becoming an AI-native telco: Indosat Ooredoo Hutchison reimagines the telecom of the future

Indonesia’s second-largest telecom operator turned a complex merger into a platform for growth, reshaping how decisions are made, how employees work, and how AI…

CBAM: How companies can build from compliance to value creation
Practice

CBAM: How companies can build from compliance to value creation

Verified emissions are a decarbonization tool and compliance requirement, but also a means to improve cost control and forecasting. A suite of targeted actions …

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

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 sup…

Now in preview: Find and fix software vulnerabilities with CodeMender
Practice

Now in preview: Find and fix software vulnerabilities with CodeMender

As adversarial AI threats accelerate attacks on code, security teams must counter them with machine-speed defenses that can automate code remediation and fight …

The second look: An adaptive approach to reunderwriting
Practice

The second look: An adaptive approach to reunderwriting

The best-performing PE firms build on deal diligence in a disciplined way throughout the hold period, revisiting and retuning their exit options and equity stor…

Robot reboot
Practice

Robot reboot

A new generation of robotics is powering up. How can leaders capture the value at stake while ensuring successful human–machine collaboration?…

Proven growth strategies from market leaders
Practice

Proven growth strategies from market leaders

Discover how market leaders—Walmart, Builders FirstSource, Progressive, and JPMorgan Chase—achieved exceptional growth from 2019 to 2024, outperforming peers by…

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

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 …

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

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 …