Category: Amazon Machine Learning

Drawing on the extensive experience AWS has in partnering with public sector organizations worldwide, here are four transformative steps agencies can take to drive meaningful modernization and shape the future of government service delivery.

As state and federal organizations increasingly explore generative AI implementations using Amazon Bedrock, they face a critical challenge: accurately estimating the costs associated with these workloads. In this post, we cover details about estimating costs on Amazon Bedrock.

We’re excited to announce the expansion of AWS HealthLake to the EU (Dublin) Region, marking a significant milestone in our commitment to supporting healthcare organizations across the European Union (EU). Read this post to learn more.

On June 24, 2025, Amazon Web Services (AWS) will welcome healthcare professionals to our Dublin offices for AWS Health Data & AI Day—a full-day event focused on the European Health Data Space (EHDS) and the transformative potential of artificial intelligence (AI) in healthcare. The event will bring together healthcare leaders, technical experts, and innovators to explore how secure, standardized, and interoperable data sharing can improve healthcare delivery and patient outcomes across Europe.

In this post, we discuss a noise complaint solution that uses an Amazon Bedrock Agent to serve as an intelligent interface between citizens and the computer-aided dispatch (CAD) system.

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.

Read this post to learn how Change.org built a next-generation recommender on AWS that turned more awareness into action—boosting petition signatures by 30 percent.

Building on an eight-year cloud transformation journey with AWS, The North Carolina Department of Commerce’s Division of Employment Security (NCDES) is launched one of the first generative artificial intelligence (AI)-powered, public-facing solutions in the state: an intelligent virtual assistant that helps individuals navigate the unemployment insurance claim application process. Read this blog post to learn more.

Mid-Hudson Valley Federal Credit Union (MHVFCU) needed to automate their tools and develop advanced forecasting capabilities to make informed decisions for deposit management and growth to maximize benefit for their members. For this purpose, MHVFCU leadership sought a solution that would not only save time in data preparation and analysis but also provide accurate forecasts for balances across four key deposit products: savings, checking, certificate deposits (CDs), and money market. Read this post to learn about the solution they built with AWS.

In this post, we explore how Amazon SageMaker Canvas can make machine learning accessible and actionable for nonprofit organizations. We highlight key features that allow your nonprofit to harness the power of machine learning without data science expertise or dedicated engineering teams.