AWS for Industries
Category: Artificial Intelligence
Automate Investment Research Using Strands Agents on Bedrock AgentCore
This post shows you how to build an AI-powered investment research platform using the Strands agents -multi-agent framework deployed on Amazon Bedrock AgentCore.
How Carlsberg’s Traitomic business leveraged AWS HealthOmics to power genetic trait development
This blog explains how Traitomic partnered with AWS to power genetic trait development by overcoming common challenges with sequencing workflows.
How retailers solve the customer identity puzzle with Amperity and AWS
In this blog post, learn more about Chuck Data which is a command-line AI agent for customer data, built by Amperity. It embeds years of customer data expertise and multi-patented identity resolution algorithms.
Exact Sciences Transforms Bioinformatics Infrastructure with AWS HealthOmics
Learn how Exact Sciences, a leading provider of cancer screening and diagnostic tests, has transformed its bioinformatics infrastructure by utilizing AWS HealthOmics.
Accelerating physical AI with AWS and NVIDIA: building production-ready applications with simulation and real-world learning
Defining physical AI beyond digital intelligence Physical AI represents a transformative evolution in artificial intelligence, extending beyond purely computational systems, to intelligent agents that perceive, reason, and interact directly with the physical world. Unlike traditional AI systems that process information in digital domains (such as chatbots or recommendation engines), physical AI embeds intelligence in systems […]
Event-Driven Digital Pathology: Governed Whole Slide Image Ingestion to Scalable Inference with Amazon SageMaker
This blog post will detail how Genmab, a leading biotech company, built an automated pipeline on AWS that handles whole-slide images from start to finish, cutting analysis time from hours to under 30 minutes per batch and reducing manual work by 80 percent. We will walk through how Genmab achieved this using AWS services and share the key lessons they learned along the way.
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).
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.
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 […]
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.







