📰 AWS Machine Learning

In this post, I share how AI serves as an accessibility tool for neurodivergent professionals. The system is built on Amazon Quick on your desktop, an AI-powere

In this post, we explore how the Amazon Quick document and visualization creation capabilities work, what you can build with them, and how professionals across

In this post, we show three ways to implement Programmatic tool calling (PTC) on Amazon Bedrock: a self-hosted Docker sandbox on ECS for maximum control, a mana

In this post, we share how Aderant used the AI-powered capabilities of Amazon Quick to unify search across six vendor systems and automate documentation workflo

In this post, we'll explore how we built a proof-of-concept that converts natural language queries into executable seismic workflows while providing a question-

This post shows you how to build your first AI-powered workflow, using Amazon Quick, starting with a financial analysis tool and progressing to an advanced empl

Online retailers face a persistent challenge: shoppers struggle to determine the fit and look when ordering online, leading to increased returns and decreased p

This post demonstrates how to build an automated competitive price intelligence system that streamlines manual workflows, supporting teams to make data-driven p

In this post, we show you how to build a similar system for your organization. You will learn the architecture decisions, implementation details, and deployment

In this post, you'll learn how Ring implemented metadata-driven filtering for Region-specific content, separated content management into ingestion, evaluation a

In this post, we explore the challenges that Volkswagen Group faced in producing brand-compliant marketing assets at scale. We walk through how we built a gener