AWS Public Sector Blog

Tag: Machine Learning

AWS branded background with text "Interactive access and visualization of geospatial data from the AWS Open Data Program"

Interactive access and visualization of geospatial data from the AWS Open Data Program

Open data is reshaping how we understand and respond to global challenges. From climate change to disaster recovery, the ability to access and analyze large-scale geospatial datasets is critical for scientific research, policy-making, and real-world applications. Leading the charge are several open data initiatives designed to lower access barriers and accelerate innovation: Open Data on AWS, the Amazon Sustainability Data Initiative (ASDI), and the Maxar Open Data Program on AWS. Together, these programs demonstrate the power of cloud-enabled open data to democratize access to geospatial information, promote global collaboration, and drive real-world impact. In this post, we demonstrate how to explore and visualize these datasets using interactive web applications and Jupyter notebooks.

AWS branded background with text "Extracting, analyzing, and interpreting information from Medicaid forms with AWS Bedrock Data Automation"

Extracting, analyzing, and interpreting information from Medicaid forms with AWS Bedrock Data Automation

What if paper forms could be processed at the same speed as digital forms? What if their contents could be automatically entered in the same database as the digital forms? Medicaid agencies could analyze data in near real-time and drive actionable insights on a single dashboard. Whether a provider submits claims electronically or on paper, the claim could be adjudicated using the same process and analyzed the same way, saving both time and money. AI and ML services from AWS allow Medicaid agencies to create this streamlined solution. Moreover, AWS enables the adoption of solutions like this by providing no code or low code serverless services. Read this post to learn more

AWS Branded Background with text "How to use life sciences data from AWS Open Data program in Amazon Bedrock"

How to use life sciences data from AWS Open Data program in Amazon Bedrock

In this post, we discuss how to use datasets in the Registry of Open Data on AWS with Amazon Bedrock Knowledge Bases. With Amazon Bedrock Knowledge Bases, you can give foundation models (FMs) and agents contextual information from private and public data sources to deliver more relevant, accurate, and customized responses.

AWS Branded Background with text "66 new or updated datasets available on the Registry of Open Data on AWS"

66 new or updated datasets available on the Registry of Open Data on AWS

Through the AWS Open Data Sponsorship Program, customers are making over 300 PB of high-value, cloud-optimized data available for public use. All publicly available datasets can be found in the Registry of Open Data on AWS and are now also discoverable on Exchange. This quarter, AWS released 66 new or updated datasets. Read this post to learn more.

AWS Branded Background with text "No-code AI development: Using Amazon SageMaker AI and Amazon Kendra for smart search chatbots"

No-code AI development: Using Amazon SageMaker AI and Amazon Kendra for smart search chatbots

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.

AWS Branded Background with text "Why government health agencies worldwide are selecting AWS to transform patient care"

Why government health agencies worldwide are selecting AWS to transform patient care

Healthcare systems around the world are facing unprecedented challenges, from addressing chronic conditions to supporting aging populations and addressing emerging health threats, and it has become unmistakably clear that technology is no longer just a support function—it’s a force-multiplier that can transform health outcomes. At AWS, we’ve witnessed a remarkable shift as health agencies worldwide increasingly choose cloud computing to drive innovation, enhance research capabilities, and ultimately, improve patient outcomes.

AWS Branded Background with text "AWS HealthLake launches in the EU: Unlocking the future of interoperability and FHIR-based innovation"

AWS HealthLake launches in the EU: Unlocking the future of interoperability and FHIR-based innovation

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.

AWS Branded Background with text "Building machine learning operations framework with Amazon SageMaker: Technical Safety BC's Journey"

Building machine learning operations framework with Amazon SageMaker: Technical Safety BC’s Journey

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.

AWS Branded Background with text "Change.org’s Ray-based recommender on Amazon EKS increases petition signatures by 30%"

Change.org’s Ray-based recommender on Amazon EKS increases petition signatures by 30%

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.

AWS Branded Background with text "Navigating financial turbulence: How Mid-Hudson Valley Federal Credit Union used AWS AI/ML to enhance forecasting and decision-making

Navigating financial turbulence: How Mid-Hudson Valley Federal Credit Union used AWS AI/ML to enhance forecasting and decision-making

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.