AWS Public Sector Blog

Tag: public sector

How to detect wildfire smoke using Amazon Rekognition

Since wildfires can double in size and intensity every three to five minutes, early detection and reduced response times are essential. Cloud technologies, including artificial intelligence (AI) and machine learning (ML), can help with this. Learn a high-level architecture to create a solution with AWS that uses AI to identify and classify wildfire smoke imagery and then rapidly alert and inform first responders about the location and condition of a fire incident.

Whole-of-state cybersecurity: How to implement and build a sustainable program

Whole-of-state cybersecurity: How to implement and build a sustainable program

With new funding opportunities available, now is the time for state and local government agencies to act quickly and think strategically about their approach to building a resilient whole-of-state (WOS) cybersecurity strategy. Some trailblazing states have had measures of success in establishing a WOS footprint by thinking strategically about short and long-term outcomes to support secure digital transformations and protect constituent data and services. Learn some best practices that organizations can consider in their WOS cybersecurity approach.

How Government of Canada customers can use AWS to securely migrate data

How Government of Canada customers can use AWS to securely migrate data

Learn how AWS Snowcone and Amazon S3 can help Government of Canada (GC) organizations securely transfer and store their data, and how two GC organizations have already used these services to migrate data securely. Find out how these AWS services address data security, privacy, and compliance with regulatory requirements specific to GC customers.

Introducing the Government Lens for the AWS Well-Architected Framework

Introducing the Government Lens for the AWS Well-Architected Framework

AWS announced the launch of a Government Lens for the AWS Well-Architected Framework. The Government Lens is a collection of customer-proven design principles, scenarios, and technology agnostic best practices designed to encourage the unique context and requirements of governments globally to be considered when designing, building, and operating government workloads on AWS.

Implement a secure, serverless GraphQL architecture in AWS GovCloud (US) to optimize API flexibility and efficiency

Implement a secure, serverless GraphQL architecture in AWS GovCloud (US) to optimize API flexibility and efficiency

GraphQL is a query language and server-side runtime system for application programming interfaces (APIs) that prioritizes giving clients exactly the information they request and no more. GraphQL can help public sector customers focus on their data and provide ways to explore the data in their APIs. Learn a reference architecture using serverless technologies that you can use to build GraphQL-enabled solutions in the AWS GovCloud (US) Regions to unify data access in real-time and simplify operations.

Creating agentless outbound campaigns to support Medicaid unwinding efforts

Creating agentless outbound campaigns to support Medicaid unwinding efforts

With state Medicaid agencies (SMAs) contacting all their members, contact centers must scale to meet increased demand—however, staffing shortages can make this outreach and call support difficult. SMAs can support staff members and make sure members get their communications needs met by using AWS and cloud technology to introduce automation into their outreach process. Learn how to deploy a serverless outbound campaign to meet Medicaid unwinding outreach needs and support agency staff members by streamlining the outreach process.

4 steps to launching a successful data literacy program for public sector employees

Public sector agencies today require digital skills to deliver the functions citizens expect, and the innovations necessary to speed up processes and address gaps and inequity. However, digital transformation can only be achieved when workers have the data literacy skills to read, interpret, communicate, and reason with this data. Coursera, an AWS Training Partner, hosts their global online learning platform in AWS Cloud. Coursera has created a four-step framework for successfully building and managing a data literacy program. Learn how your organization can adopt this framework to empower your workforce to harness data more effectively.

Transforming pension fund management with the cloud

What if there was a transformative solution for managing pension funds? AWS offers personalized investment solutions for investment firms using cutting-edge machine learning (ML) technologies. By utilizing cloud-based services, pension managers can harness advanced data analytics, gaining valuable insights that inform investment strategies. This empowers leaders to make well-informed decisions that align with the needs of stakeholders.

Japan Manned Space Systems uses AWS Snowcone to automate and optimize data delivery from space to Earth

Approximately 400 kilometers above the Earth’s surface, Japan Manned Space Systems Corporation (JAMSS) used an AWS Snowcone SSD onboard the International Space Station (ISS) to quickly and autonomously transmit large volumes of data from space back on the ground into AWS. The AWS Snowcone, which arrived on the ISS in July 2022 as part of the first Axiom Space Mission (Ax-1), is available to power on-orbit data processing experiments for researchers, students, and scientific organizations.

Scaling intelligent document processing workflows with AWS AI services

Scaling intelligent document processing workflows with AWS AI services

As the daily volumes of document submissions increases for government organizations, intelligent document processing (IDP) solution architectures must absorb spikes in requests without creating delays or other impact for the users. In cases where the processing volume exceeds the limits of the resources available in an AWS Region, organizations can distribute the workloads across multiple regions to increase the document processing throughput. This post presents high-level architecture guidance built around Amazon Comprehend to create a distributed document processing workload that can overcome the challenges of unpredictable request patterns.