Category: Amazon SageMaker

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.

In this post, you will learn how AWS technologies support the entire autonomous system lifecycle from AI-powered design and virtual prototyping in pre-deployment, to edge computing through services like AWS IoT Core and AWS IoT Greengrass and related solution guidance like Tactical Edge Application Deployment on AWS and Cloud Edge Global Access (CEGA) during deployment, through real-time mission operations, and finally to post-mission evolution using secure over-the-air updates and predictive maintenance.

The post-secondary education sector is about to experience a seismic shift in how it manages data. In a landmark announcement, Amazon Web Services (AWS) and MortarCAPS have revealed a strategic partnership that promises to transform the way that tertiary education institutions handle information, support students, and drive innovation.

In this post, we walk through creating a Retrieval Augmented Generation (RAG)–powered chat assistant using Amazon SageMaker AI and Amazon Kendra to query donor data on AWS.

This post demonstrates how to enhance security and compliance in an isolated SageMaker JupyterLab environment by implementing two key customizations: configuring download restrictions and implementing secure Python package installation through AWS CodeArtifact.

Technical Safety BC (TSBC) regulates the safe installation and operation of technical systems (electrical, gas, boiler, elevator, etc.) in British Columbia. This post showcases how the TSBC built a machine learning operations (MLOps) solution using AWS to streamline production model training and management to process public safety inquiries more efficiently.