Tag: best practices

Generative artificial intelligence (AI) has captured the imagination of organizations across industries, promising to revolutionize workflows and drive innovation. As public sector entities explore this transformative technology, a critical challenge emerges: identifying and prioritizing high-value use cases that align with specific business objectives and delivering measurable outcomes. In this post, we present an Amazon Web Services (AWS) framework to help public sector organizations navigate generative AI adoption and unlock its true potential.

On October 24, 2024, the White House released a National Security Memorandum (NSM) on Artificial Intelligence (AI), which focuses on ensuring US leadership in developing advanced AI technologies. Amazon Web Services (AWS) is uniquely positioned to address the critical needs of the defense and national security customers in advancing their AI capabilities. Our comprehensive suite of AI and high performance computing (HPC) capabilities offers flexible and robust solutions to meet the NSM’s goals and empower national security missions.

Malcolm is a powerful, open source network traffic analysis tool suite created by the Cybersecurity and Infrastructure Security Agency (CISA) to aid public and private sector customers in improving their network security monitoring and incident response. Malcolm is most commonly used for incident response, network monitoring, threat hunting, training, and research, but can be adapted for other use cases. In this post, we introduce you to the key components of Malcolm on Amazon Elastic Kubernetes Service (Amazon EKS).

In this post, we explore how Amazon Web Services (AWS) cloud-based technologies can be used to address diversified and dynamic water challenges in Europe, the Middle East, and Africa. As climate change and demographic shifts continue to strain water resources, the need for innovative, technology-driven solutions has never been more urgent.

How can technology leaders rapidly deliver responsible artificial intelligence-based innovation while aligning with the broad spectrum of strict regulatory requirements? The answer is simple: Amazon Web Services (AWS) GovCloud (US) provides the technology that underpins a solid foundation for securely and compliantly building and deploying AI capabilities. Read this post to learn more.

Federal agencies typically collect, manage, use, and distribute a wide array of documents. Storing and distributing federal agency documents is often a complicated process; documents can range from structured formats to free-flowing documentation with personal identifiable information (PII) that needs careful redaction. And because federal agencies cover a wide breadth of domains, it is challenging to develop a one-size-fits-all approach for document processing. In this post, we explore an example of how a federal agency can use Amazon Web Services (AWS) to design and deploy a solution that addresses this document processing challenge.

With the Internet of Things (IoT), selecting the right communication protocol ensures efficient data exchange and seamless connectivity between devices and the cloud. With a multitude of IoT protocols available, choosing the one that best suits your specific use case can be challenging. In this blog, we explore four common protocols used to connect IoT devices to the cloud and shed light on when and where to deploy them for optimal results.

In Modernizing tax systems with AWS, we briefly touched upon infrastructure and application modernization using microservices and serverless architectures. We hear from multiple tax and labor agencies about their desire to move to API-based architectures and adopt new technologies. In this post, we dive deeper into these areas and discuss benefits, approaches, and best practices for building modern tax and unemployment insurance (UI) applications using microservices.

Governments worldwide dedicate a significant portion of their IT budget to maintaining legacy technology systems. This can pose security and operational continuity challenges and governments seek to address this challenge. Amazon Web Services (AWS) public sector government transformation specialists researched what technology leaders in government and in the highly regulated private sector believe their main IT challenges are. This post summarizes the insights and suggests four approaches to consider.

This post explains how healthcare organizations and partners can use Amazon Web Services (AWS) to build secure and scalable infrastructure for secondary usage of health data in alignment with the European Health Data Space (EHDS). This is the first of two posts describing an AWS reference architecture for EHDS. The second post will provide step-by-step technical guidance on how to implement this reference architecture on AWS.