Tag: federal government

The use of consumer-grade messaging applications poses significant security and sovereignty risks for Australian Government agencies, making it difficult to meet governmental information management obligations. Official guidance from the National Archives of Australia (NAA) unambiguously states that “instant messaging posts … created or received as part of Australian Government business are Commonwealth records.” Amazon Web Services (AWS) Wickr is an end-to-end encrypted messaging and collaboration service that provides the advanced security, administrative controls, and data retention capabilities government agencies need to protect sensitive information and meet legislative requirements. Read this post to learn more.

On June 27, 2024, Amazon Web Services (AWS) and the Atlantic Council Geotech Center co-hosted an event, “An Allied Approach in the Age of AI,” during the annual AWS Summit Washington, DC. The event convened senior U.S. Government (USG) officials, allied nations’ diplomats, and private sector leaders to discuss approaches to shape the global future of responsible artificial intelligence (AI). This post is a recap of the event, which covered a range of topics including forging effective public-private partnerships, aligning AI governance strategies with allies, debating opportunities and challenges in the age of AI innovation, and building responsible, resilient AI systems. 

In this post, we show you how you can push or pull your security telemetry data to the National Cybersecurity Protection System (NCPS) Cloud Log Aggregation Warehouse (CLAW) using Amazon Web Services (AWS) Simple Storage Service (Amazon S3) or third-party solutions.

Generative artificial intelligence (AI) innovation and inspiration dominated today’s AWS Summit Washington, DC keynote. But there was no shortage of newsworthy moments and key takeaways that extended beyond generative AI. Dave Levy, vice president of Worldwide Public Sector at Amazon Web Services (AWS), delivered the keynote and was joined onstage by three guest speakers who helped him set the tone for the annual two-day event that brings the public sector cloud community together in the nation’s capital.

The Amazon Web Services (AWS) commitment to safe, transparent, and responsible artificial intelligence (AI)—including generative AI—is reflected in our endorsement of the White House Voluntary AI Commitments, our participation in the UK AI Safety Summit, and our dedication to providing customers with features that address specific challenges in this space. In this post, we explore how AWS can help agencies address the governance requirements outlined in the Office of Management and Budget (OMB) memo M-2410 as public sector entities look to build internal capacity for AI.

Governments encourage public sector organizations, businesses, and citizens to embrace digital technologies and practices through a range of incentives. These incentives standardize processes and motivate behaviors that achieve the objectives of these initiatives in a way that can be sustained over time. This post, written by an Amazon Web Services (AWS) government transformation advisor, highlights 10 ways that governments use incentives to accelerate successful digital transformation. 

Generative artificial intelligence (AI) is revolutionizing public agencies by streamlining services and providing valuable insights from large datasets. However, adding generative AI to your agency is not a simple process. SMX, an Amazon Web Services (AWS) Premier Tier Services Partner, helped one nonprofit agency build a robust architecture in the AWS Cloud that provided them the foundation for building and implementing generative AI tools. In this guest post, experts from SMX explain five best practices they used to help this agency prepare for generative AI.

Citizens are increasingly expecting government to provide modern digital experiences for conducting online transactions. Market research tells us 63 percent of consumers see personalization as the standard level of service. This post offers various architectural patterns for improving customer experience for the public sector for a wide range of use cases. The aim of the post is to help public sector organizations create customer experience solutions on the Amazon Web Services (AWS) Cloud using AWS artificial intelligence (AI) services and AWS purpose-built data analytics services.

In this post, we will explore the use of generative artificial intelligence (AI) chatbots as a natural language alternative to the service catalog approach. We will present an Amazon Web Services (AWS) architecture pattern to deploy an AI chatbot that can understand user requests in natural language and provide interactive responses to user requests, directing them to the specific systems or services they are looking for. Chatbots simplify the content navigation and discovery process while improving the customer experience.

Within the Food and Drug Administration’s Center for Drug Evaluation and Research, the Division of Medication Error Prevention and Analysis (DMEPA) plays a critical role. DMEPA reviews premarket and postmarket drug labeling to minimize the risk of medication errors. In partnership with DMEPA, Amazon Web Services (AWS) Partner ICF is developing a machine learning (ML) prototype known as the Computerized Labeling Assessment Tool (CLAT). The prototype employs innovative applications of optical character recognition (OCR) technology and the novel use of computer vision techniques that will alleviate bottlenecks in and enhance the efficiency of the drug labeling review process.