AWS Public Sector Blog

Category: Networking & Content Delivery

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Leverage generative AI for biocuration using Amazon Bedrock and Amazon Nova foundation models

Personalized therapy for diseases such as cancer utilizes an individual’s unique genomic profile to guide treatment decisions. However, the effect and clinical significance of most genetic variants are uncertain. Accurate classification of the clinical significance of novel genetic variants requires extensive curation of peer-reviewed biomedical literature. In recent years, generative AI has demonstrated promising results in information extraction and text summarization. In this post, we explore how various AWS-native solutions can be used to create a secure, retrieval-augmented, and cost-effective biomedical chatbot designed to facilitate biocuration.

AWS branded background design with text overlay that says "How AWS can help partners grow in the Middle East"

How AWS can help partners grow in the Middle East

One of the primary strategies for growth for partners is through global expansion. Amazon Web Services (AWS) continues to invest in infrastructure around the globe. The Middle East is one region with huge potential for growth. According to IDC, more than 75 percent of workloads are on premises in the United Arab Emirates (UAE) and Saudi Arabia. The AWS and IDC report “Unlocking the Full Potential of AI in the Middle East” points out that 28 percent of organizations surveyed in the UAE and Saudi Arabia are currently investing in AI while another 50 percent plan to invest. Read this post to learn more.

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AWS accelerates digital public infrastructure adoption with automation

In this post, we explore how AWS enables the automation of deploying a DPI-based solution stack. We highlight Sunbird RC (Registry and Credentials) as a real-world digital public goods (DPG) building block. The following example provides an overview and execution of the packaging available in the Sunbird community GitHub repository for provisioning required AWS services and deploying Sunbird RC services.

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4 best practices to enhance research IT operations with AWS

Academic research IT departments around the world face the same challenge: how to balance their existing on-premises infrastructure with the opportunities of cloud computing. At the Supercomputing 2024 (SC24) conference, Amazon Web Services hosted a panel featuring two research IT leaders: Circe Tsui, associate director of solutions architecture at Emory University in the Office of Information Technology, and Dr. Robert Shen, director of the RMIT AWS Supercomputing Hub (RACE) at the Royal Melbourne Institute of Technology (RMIT). During the panel, Tsui and Shen shared how their institutions use AWS to augment and enhance their research operations with more scalability, security, and collaboration alongside their on-premises infrastructure. Read this post to learn more.

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Empowering zero trust in public sector with Cisco Umbrella for Government on AWS

Zero trust in the US public sector has become critical, especially as cyber threats targeting government agencies grow more complex and sophisticated. In line with the federal mandate for zero trust architecture (ZTA) outlined in Executive Order M-22-09, government agencies are required to adopt a comprehensive security framework that continuously verifies trust for every access request. In this post, we demonstrate how Cisco Umbrella for Government, built on Amazon Web Services (AWS), plays a key role in ZTA by providing multi-layered security and granular visibility across on premises and AWS.

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Data dissemination for public sector on AWS

Sharing data is essential for organizations to make informed decisions and foster innovation. Amazon Web Services (AWS) offers a variety of tools and services to help distribute data securely and at scale. Whether it’s sharing public data for the common good, monetizing private datasets for business purposes, or collaborating with colleagues, AWS provides the necessary infrastructure and support. Read this post to learn more.

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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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Amazon Bedrock launches with Claude 3.5 Sonnet in the AWS Top Secret cloud

Amazon Bedrock is now generally available in the Amazon Web Services (AWS) Top Secret cloud. With authority to operate in the AWS Top Secret Cloud, Amazon Bedrock is providing U.S. Government customers with secure access to foundation models (FMs) and generative artificial intelligence (AI) capabilities within AWS’s classified environment.

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AWS Verified Access in a TIC 3.0 architecture

Federal agencies can use Amazon Web Services (AWS) to meet Trusted Internet Connections (TIC) 3.0 requirements. To facilitate this, AWS has published detailed architectural overlays that demonstrate how to effectively implement TIC 3.0 guidelines within AWS deployments. AWS Verified Access (AVA) is a cloud-based service that enables secure access to applications without requiring the use of a virtual private network (VPN). It evaluates each application request and gives users access to each application only when they meet the specified security requirements. AVA supports TIC 3.0 requirements in the areas of configuration management, centralized log management, strong authentication features, resilience, and policy enforcement. Read this post to learn more.

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Agile satellite communication ground systems with Amazon EC2 F2 FPGA solutions

In this post, we provide technical guidance to help satellite operators build, deploy, and analyze satcom waveforms on Amazon Web Services (AWS). Details are provided about the orchestration of multiple waveforms, including an example of one Amazon Field-Programmable Gate Array (FPGA) Image being swapped in for another. We analyze the FPGA utilization and metrics in Amazon CloudWatch and Amazon QuickSight, and validate network performance against system latency requirements. Finally, we recommend actions you can take to build an agile satcom strategy.