Category: Amazon SageMaker

This blog discusses how AWS has supported more than 600 customers with over $90 million of technology to innovate in health. Forty-four percent of these customers employed AWS AI services, seeding AI innovation across the global health landscape and proving that cloud-powered AI can improve health and wellness for all. This blog highlights nine of those organizations deploying AI to save lives today, culminating in AWS’s largest single social impact investment in health: a landmark technology collaboration with the Fleming Initiative to build the world’s first AI-powered platform for combating antimicrobial resistance.

Learn how Somapa Information Technology PCL (SomapaIT), an AWS Partner, chooses Amazon Web Services (AWS) Cloud to implement DAC systems because of its global footprint, security, high availability, and scalability.

In this post, Marshall Moutenot shares how dynamical.org is making weather data products, including AI weather forecasts, accessible on AWS.

Learn how the Amazon Web Services (AWS) Generative AI Innovation Center has helped dozens of organizations develop evaluation strategies that bridge this “articulation gap.”

Australian public sector agencies can now harness AI’s transformative potential while maintaining ethical, transparent, and compliant systems with new practical guidance from Amazon Web Services (AWS). AWS is excited to announce that the AWS Australian Public Sector User Guide: Building Responsible AI systems with Amazon Bedrock and Amazon SageMaker AI is now available through AWS […]

Federal agencies are at a pivotal juncture in their technological evolution. Legacy systems, some dating back to the 1960s and 1970s, continue to power essential government services while facing a challenge: the retirement of the workforce that understands and maintains them. Rebecca Wetherly, director of worldwide public sector global system integrator partners at AWS recently sat down with Denise Zheng, chief AI officer at Accenture Federal Services (AFS), to discuss how artificial intelligence (AI) and modernization can help agencies navigate this transition while improving service delivery to citizens.

This blog post provides a comprehensive overview of the custom large language model (LLM) development lifecycle for public sector use, emphasizing scientific methodology and measurable outcomes.

Traditional cloud migration approaches followed the established 7 Rs: Rehost, Refactor or re-architect, Relocate, Repurchase, Replatform, Retain, and Retire. However, we now see the emergence of an 8th R, Reinvention, which is transforming government agencies into dynamic public value engines. Read this post to learn more.

Federal agencies are using cloud-based tools to increase productivity, reduce resource use, and improve their ability to efficiently serve the public. This article highlights the pioneering leaders forging new paths into cloud-based government.

United States Customs and Border Protection (CBP) is using cloud computing, generative AI and machine learning to secure US borders and address complex challenges. On a panel at the AWS Summit 2025 event in Washington, DC, two of CBP’s technology leaders discussed how the agency is combating border issues using cloud technology. In this post, we explore the key points and insights shared by the CBP technology leaders.