AWS for Industries
Category: Industries
How Amazon Connect Health brings agentic AI to the point of care
In this post, we show how EHR companies, healthcare independent software vendors (ISVs), and tech-enabled provider organizations can use Amazon Connect Health to embed these capabilities into their existing workflows using a single, unified Software Development Kit (SDK).
How Liftoff improved conversion performance and reduced infrastructure costs with Cortex using AWS Graviton
In this blog we explore how Liftoff built and scaled Cortex, their AI-powered growth platform, on AWS using the latest neural network technology and AWS Graviton Processors. We discuss how Cortex addresses the challenges of training hundreds of models per day, with over 1 Petabyte of new data daily. All, while lowering infrastructure costs and improving customer performances.
From Prompt to Pipeline: AI-Powered Bioinformatics Workflow Development with Kiro and AWS HealthOmics
Learn more about Kiro — an agentic AI-powered IDE built by AWS that helps you go from prototype to production with spec-driven development — and how to improve Kiro’s bioinformatics workflow abilities, we built the AWS HealthOmics Kiro Power — a companion package that automatically configures the HealthOmics Model Context Protocol (MCP) server and provides Kiro with domain-specific steering guides.
Driving Intelligent Quality in the Software-Defined Vehicle Era
This blog will cover how PQD enables the transformation of after-sales vehicle quality from a reactive to a proactive, data-driven approach enabled by connected vehicle data, software-defined architectures, and AI/ML services from AWS.
How Amazon Devices Eliminated Credential Risk to Scale AI across Engineering Tools
Amazon Devices engineers needed AI assistance directly in their design tools to accelerate hardware development. But AI agents running locally on engineering workstations had no way to authenticate with AWS services without distributing credentials, creating unacceptable security risks. The Design Technologies team solved this challenge by implementing browser-based authentication that establishes user identity and enables […]
The Evolution of BMW Group’s 3D Streaming Experience
In this blog post, we’ll explain why BMW Group chose Amazon Web Services, Inc. (“AWS”) as its cloud provider to deliver this user experience and dive deep into how the team solved the technical challenges along the way.
Build ChatGPT Apps with MCP Servers and AWS Infrastructure
In this post, we’ll unpack what ChatGPT Apps are, why they’ve become a strategic priority for retailers, and how they fit into a broader agentic commerce vision. We’ll also show you why AWS is the ideal back-end infrastructure.
The Luggage Lab: Accelerate product innovation with AWS generative AI services
Learn how AWS showcased a proven path to staying ahead of consumer expectations — from compressing innovation cycles to delivering the personalized experiences that drive loyalty at the 2026 National Retail Federation Big Show with the Luggage Lab.
How TripleLift optimized real-time bidding with custom load balancing, Spot, and Graviton
TripleLift is a digital advertising company reinventing ad placements at the intersection of creative, media, and data. Its marketplace serves the world’s leading brands, publishers, streaming companies, and demand-side platforms, propelling TripleLift to execute over 7 trillion ad transactions monthly through their real-time bidding (RTB) service. Customers choose TripleLift because of its addressable offerings—from native […]
AI-Powered Collections: How EXL Uses AI on AWS for Debt Recovery at Scale
Learn how to transform collections operations for banks and fintechs with AI and ML on AWS The Business Challenge Financial institutions face mounting pressure in collections operations. Traditional debt collection operates on a simple playbook: aggressive phone calls, generic messaging, and rule-based workflows. Yet customers have unique capacity to pay (income, assets, competing obligations), willingness […]








