AWS for Industries

Category: Artificial Intelligence

Engineering Development Hub: A unified workbench to accelerate product development

Engineering Development Hub: A unified workbench to accelerate product development

Learn more about Engineering Development Hub (EDH), a unified, cloud-based engineering workbench that brings together the applications, compute, and data you need to design, test, and validate complex systems—all in a single, open source environment.

AUMOVIO improves quality of automotive software at scale using multi-agent AI on Amazon Bedrock

AUMOVIO improves quality of automotive software at scale using multi-agent AI on Amazon Bedrock

In a previous blog post, we described how AUMOVIO built an AI-powered engineering assistant on Amazon Bedrock that generates automotive-grade embedded code. That system accelerates development

Blazing a Trail: How Peloton Rebuilt the SDLC for the Agentic Era with Amazon Bedrock

Blazing a Trail: How Peloton Rebuilt the SDLC for the Agentic Era with Amazon Bedrock

Learn how Peloton uses Amazon Bedrock for access to frontier models, including Anthropic’s Claude Sonnet 4.6, Opus 4.7 and Opus 4.8. Amazon Bedrock also provides global cross-region inference, integration into AWS CloudTrail and AWS CloudWatch, and model access logging for the observability and audit controls its engineering organization requires.

Is your AI Agent ready for prime time?

Is your AI Agent ready for prime time?

Retailers have always stubbed their toes on early technology adoption—from scanned product barcodes ringing up at the wrong price, to self-checkout lanes that created more shrink than savings, to ecommerce platforms that oversold products they couldn’t ship. But every time, the retailers who learned to master the technology, instead of abandoning it, were the ones who pulled ahead. AI agents are no different.

AI Credit Analytics Across Amazon S3 and Snowflake with Amazon Bedrock AgentCore

AI Credit Analytics Across Amazon S3 and Snowflake with Amazon Bedrock AgentCore

In this post, we present a deployable reference architecture that addresses both challenges simultaneously. We show how Amazon Bedrock AgentCore orchestrates a single AI agent that reasons across unstructured documents in Amazon S3 and structured data in Snowflake.

Kite Advances Scalable Bioinformatics for Cell Therapy Research in Collaboration with AWS HealthOmics

Kite Advances Scalable Bioinformatics for Cell Therapy Research in Collaboration with AWS HealthOmics

In this blog, learn how Kite, a Gilead Company, modernized its bioinformatics infrastructure by transitioning from fragmented, project-specific workflows to a standardized, cloud-enabled approach using AWS HealthOmics. Discover how this collaboration with AWS Professional Services enabled over 100 researchers to access scalable, self-service computational workflows through their existing laboratory systems—without requiring CLI or infrastructure expertise.

Henry Schein ONE goes AI-native with AI Product Discovery and Strategy

Henry Schein One goes AI-native with AI Product Discovery and Strategy

Learn how Henry Schein ONE serves more than 100,000 dental practices worldwide with cloud infrastructure on Amazon Web Services (AWS). The company’s mission is simple: help practitioners spend less time on technology and more time on patient care.

Cloud Adoption Update for Financial Market Infrastructure Providers 1H26

Cloud Adoption Update for Financial Market Infrastructure Providers 1H26

Learn how through its strategic partnership with Nasdaq and AWS, BYMA (Bolsas y Mercados Argentinos) went live on Nasdaq’s Eqlipse Clearing platform, hosted on AWS — becoming one of the first FMIs in Latin America to run core clearing and settlement workloads in the cloud.

How AWS helps Hong Kong banks deliver on HKMA DART Framework

How AWS helps Hong Kong banks deliver on HKMA DART Framework

Learn how financial institutions in Hong Kong face a defining moment in how they deliver technology-driven banking: the Hong Kong Monetary Authority (HKMA) launched Fintech 2030 on November 3, 2025, introducing the DART framework with named initiatives and clear supervisory expectations.

GreenBridge.AI redefines renewable energy operations with agentic AI on AWS

GreenBridge.AI redefines renewable energy operations with agentic AI on AWS

Renewable energy operators face a growing challenge: Managing increasingly large, complex, high-value portfolios across solar, wind, and battery energy storage system (BESS) while meeting tighter compliance, grid, and market demands. Many operational workflows remain reactive, manual, and fragmented—limiting both performance and scalability. However, GreenBridge.AI is innovating renewable energy operations through AI agents for greater automated efficiency and scalability.