AWS Public Sector Blog

Category: Amazon Q

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

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on Amazon Web Services (AWS). AWS works with data providers to democratize access to data by making it available to the public for analysis on AWS; develop new cloud-based techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. The full list of publicly available datasets are on the Registry of Open Data on AWS and are now also discoverable on AWS Data Exchange. This quarter, AWS released 53 new or updated datasets and you can learn more about them in this post.

AWS branded background design with text overlay that says "Securing the future of healthcare in the age of generative AI and connected care"

Securing the future of healthcare in the age of generative AI and connected care

The healthcare industry is undergoing a profound transformation, driven by the adoption of generative artificial intelligence (AI), cloud computing, and connected care devices. This digital revolution promises to improve patient outcomes, reduce costs, and enhance the overall healthcare experience. However, it also introduces new challenges in terms of cybersecurity, privacy, and regulatory compliance. To navigate this complex landscape, healthcare organizations are turning to scalable, affordable, and highly available cloud infrastructures such as Amazon Web Services (AWS) to build resilient, secure, and innovative solutions.

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Extracting insights from PubMed articles using Amazon Q Business

PubMed Central (PMC) is a leading resource for biomedical literature, offering a vast repository of full-text biomedical and life sciences journal articles. While PMC offers immense potential to accelerate scientific progress, inform evidence-based practice, and drive innovation in the biomedical and life sciences fields, the sheer volume of data presents a significant challenge. This is where Amazon Q Business comes in. It’s a powerful service designed to streamline the process of analyzing vast amounts of scientific literature and provide valuable insights efficiently. Read this post to learn more.

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Reimagining unemployment contact centers

Benefit programs like unemployment insurance are complicated and time-sensitive with weekly eligibility requirements. As a result, contact centers routinely experience high call volume that increases exponentially during economic downturns. Yet for many constituents, contact centers are the only lifeline to get the answers they need while looking for work. More than ever, agencies can benefit from AI and automation to reduce call volume, improve self-service, and empower staff productivity—not just to maintain service levels during low unemployment, but to scale and rise to the occasion of unexpected surges in demand.

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Unlocking healthcare data with Amazon Q Business

Healthcare organizations face a significant challenge in making sense of the vast amounts of unstructured medical data trapped in patient records, lab results, and clinical guidelines. Approximately 97 percent of the 50 petabytes (PB) of healthcare data generated annually goes unused. This untapped resource could hold the key to improving patient care and saving valuable clinician time. Read this post learn how we built an innovative solution on Amazon Web Services (AWS) generative artificial intelligence (AI) capabilities that lets clinicians unlock this data treasure trove.

AWS branded background design with text overlay that says "Empowering public sector innovation: How AWS Partners are accelerating their generative AI adoption"

Empowering public sector innovation: How AWS Partners are accelerating their generative AI adoption

At Amazon Web Services (AWS), we are committed to empowering our partners to accelerate their cloud innovation journeys. Our AWS Partner Transformation Program (PTP) is an important part of this commitment, offering comprehensive assessment, training, and enablement to help our public sector partners build successful and profitable AWS-based businesses.

AWS branded background design with text overlay that says "Building your first generative AI conversational experience on AWS"

Building your first generative AI conversational experience on AWS

Amazon Web Services (AWS) offers a variety of options for building chat-based assistants with generative artificial intelligence (AI) capabilities. The goal of this post is to present in simple words some of these options and what to keep in mind to decide which to use and how to get started.

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New survey: Public sector poised for generative AI revolution

A recent study by Amazon Web Services and Market Connections reveals that 89 percent of public sector leaders consider adopting generative AI important for their organizations, with 43 percent interested in using it to improve operational efficiency. As generative AI reshapes public services, AWS offers comprehensive support and resources, including a $50 million initiative, to help organizations navigate adoption challenges and accelerate innovation in support of critical missions.

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How AWS can help mission-focused organizations comply with the White House National Security Memorandum on AI

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.

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Microservices-based tax and labor systems using AWS

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.