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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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Expanding Google Antigravity for enterprise customers
Practice

Expanding Google Antigravity for enterprise customers

Since announcing Google Antigravity in Gemini Enterprise Agent Platform at I/O in May, we’ve heard helpful feedback from our customers. Your developers want eas…

How AlloyDB ScaNN scales vector search to 10 billion vectors
Practice

How AlloyDB ScaNN scales vector search to 10 billion vectors

To satisfy the demands of enterprise-grade agentic AI applications, underlying vector databases often struggle to scale effectively as modern use cases can scal…

10 questions every startup should answer before moving to production with their AI prototype
Practice

10 questions every startup should answer before moving to production with their AI prototype

It’s never been easier to start an AI-powered startup on Google Cloud. You grab an API key from Google AI Studio at breakfast, paste it into Antigravity, and by…

AWS vector solutions: Build agentic AI where your data lives
Practice

AWS vector solutions: Build agentic AI where your data lives

AWS offers a broad portfolio of vector search built directly into the databases and storage services you already use, with no standalone vector database or data…

Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore
Practice

Scaling cloud migrations with agentic AI on Amazon Bedrock AgentCore

Learn how AWS Professional Services uses a multi-agent framework built on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Purpose-b…

Scaling agentic AI: Enterprise patterns without vendor lock-in
Practice

Scaling agentic AI: Enterprise patterns without vendor lock-in

Scaling agentic AI across an enterprise requires patterns that preserve flexibility while avoiding vendor lock-in. In this second post of our multi-agent series…

Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore
Practice

Authoring Dogwood policies from natural language in Amazon Bedrock AgentCore

AI agents can take actions that do not match your organization's policies. Policy in Amazon Bedrock AgentCore lets teams enforce controls across agents, now inc…

Earning and sustaining trust in the age of AI
Practice

Earning and sustaining trust in the age of AI

Invesco President and CEO Andrew Schlossberg argues that AI should be part of a firm’s strategy, not on the sidelines, and that trust, once lost, is hard to win…

Build intelligent security for healthcare APIs with Amazon Bedrock
Practice

Build intelligent security for healthcare APIs with Amazon Bedrock

Learn how to add context-aware security monitoring to FHIR APIs using Amazon Bedrock. This post shows how to detect anomalous access patterns, classify data sen…

KnowledgeForge: mining gold from the ITSM ticket graveyard
Practice

KnowledgeForge: mining gold from the ITSM ticket graveyard

KnowledgeForge mines resolved ITSM incident tickets into new knowledge base articles and automatically curates the existing library by deduplicating, quality-sc…

How Fanatics Betting and Gaming built a multi-agent customer support system
Practice

How Fanatics Betting and Gaming built a multi-agent customer support system

Fanatics Betting and Gaming built a multi-agent customer support system on AWS to handle the complexity of sports betting: state-specific rules, real-time respo…

Asynchronous patterns for calling Amazon Bedrock AgentCore agents in serverless pipelines
Practice

Asynchronous patterns for calling Amazon Bedrock AgentCore agents in serverless pipelines

In this post, you learn three serverless patterns (task-token callback, direct service integration, and durable functions) for invoking Amazon Bedrock AgentCore…

Automate Document Processing with Quick Automate and the IDP Accelerator
Practice

Automate Document Processing with Quick Automate and the IDP Accelerator

Classifying, extracting, and validating high volumes of documents is a challenge across banking, insurance, healthcare, and the public sector. See how a mid-siz…

Domain and publish date filters for Web Search on AgentCore
Practice

Domain and publish date filters for Web Search on AgentCore

Web Search on Amazon Bedrock AgentCore now supports runtime domain and published-date filtering. New per-request filters give developers per-call control over w…

Advancing American healthcare: An interview with Seema Verma
Practice

Advancing American healthcare: An interview with Seema Verma

A former CMS administrator and current Oracle Health and Life Sciences executive discusses leadership, public–private collaboration, and the promise of AI and v…

Stripe to Acquire OpenRouter: Why Everyone Is Obsessed With Model Routing
Practice

Stripe to Acquire OpenRouter: Why Everyone Is Obsessed With Model Routing

Today, OpenRouter announced that they have entered into an agreement to be acquired by Stripe, three years from when it was launched in 2023. OpenRouter launche…

Some hard questions about a world of plenty
Practice

Some hard questions about a world of plenty

Plenty may be possible—but what would it take to make it probable?…

Michelle Williams on why public health is public wealth
Practice

Michelle Williams on why public health is public wealth

Michelle Williams, a leading voice in epidemiology and public health, advocates that society view the health of a population not as charity but as infrastructur…

Amazon Bedrock AgentCore payments is now generally available: Enabling agents to transact safely and autonomously at scale
Practice

Amazon Bedrock AgentCore payments is now generally available: Enabling agents to transact safely and autonomously at scale

Amazon Bedrock AgentCore payments is now generally available, enabling AI agents to autonomously transact at scale with built-in spending guardrails, protocol-a…

Reinventing the European pulp and paper operating model
Practice

Reinventing the European pulp and paper operating model

Europe’s pulp and paper industry faces weaker demand, rising costs, and growing competition. The next frontier will focus on operations, commercial management, …

Improve contract search accuracy with auto-generated filters in Amazon Bedrock
Practice

Improve contract search accuracy with auto-generated filters in Amazon Bedrock

In this post, we describe how AIDA works at a high level and how it helps address these challenges — grounding users in the right contracts, under the right leg…

How Jumio built a real-time feature store on AWS
Practice

How Jumio built a real-time feature store on AWS

Learn how Jumio built a centralized, real-time feature store on AWS with Amazon SageMaker Feature Store, Amazon Managed Service for Apache Flink, and Amazon Kin…

Implement vector-prompt document classification using Amazon Bedrock
Practice

Implement vector-prompt document classification using Amazon Bedrock

Learn how to build a multi-agent document classification solution on Amazon Bedrock using the Strands Agents SDK. Three specialized agents combine textual analy…

Customize Amazon Quick embedded chat into your application
Practice

Customize Amazon Quick embedded chat into your application

Amazon Quick embedded chat brings a conversational AI interface into your web application. This post walks through customizing the embedded chat with container …

Building cost-effective, high-throughput gen AI workflows in Google Dataflow
Practice

Building cost-effective, high-throughput gen AI workflows in Google Dataflow

Real-time streaming pipelines are the operational backbone of modern enterprises, continuously processing everything from customer support interactions to trans…

How Box is unlocking multimodal enterprise agents with Gemini Embeddings 2
Practice

How Box is unlocking multimodal enterprise agents with Gemini Embeddings 2

Enterprise content management is experiencing its biggest architectural shift since the cloud migration era. For years, enterprises have stored trillions of gig…

How Axonius built secure multi-tenant AI agents on Bedrock AgentCore
Practice

How Axonius built secure multi-tenant AI agents on Bedrock AgentCore

Learn how Axonius, a cybersecurity SaaS provider, used Amazon Bedrock AgentCore to deploy fully isolated, multi-tenant AI agents across hundreds of customer env…

Building operational resilience with agentic AI in financial services
Practice

Building operational resilience with agentic AI in financial services

For financial institutions, operational resilience has long been embedded in regulatory and supervisory expectations — to say nothing of the high expectations o…

NVIDIA Nemotron 3.5 Lightning now available in Amazon SageMaker JumpStart
Practice

NVIDIA Nemotron 3.5 Lightning now available in Amazon SageMaker JumpStart

NVIDIA Nemotron 3.5 Lightning, an open model built for high-volume agentic workloads, is now available in Amazon SageMaker JumpStart. This post shows how to dep…

Build OpenClaw agents that transact with Amazon Bedrock AgentCore payments
Practice

Build OpenClaw agents that transact with Amazon Bedrock AgentCore payments

Give an autonomous agent a wallet and spending guardrails so it can pay for paywalled APIs, MCP servers, and web content. This post connects OpenClaw to Amazon …