AWS Public Sector Blog

Tag: Machine Learning

AWS branded background design with text overlay that says "NATO’s march to multi-domain operations: Transforming the alliance with hyperscale cloud"

NATO’s march to multi-domain operations: Transforming the alliance with hyperscale cloud

Across NATO’s 32 member states, today’s rapidly evolving threat landscape requires continuous modernization of advanced technology solutions, underscoring the strategic importance of the alliance’s digital transformation. This modernization effort demands speed, scale, security, and global innovation capabilities to stay ahead. Collaborating with technology leaders like Amazon Web Services (AWS) can accelerate innovation and NATO’s ability to deliver mission-ready solutions to counter known and emerging threats.

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Well-rounded technical architecture for a RAG implementation on AWS

In the age of generative artificial intelligence (AI), data isn’t just king—it’s the entire kingdom. Our previous blog post, Anduril unleashes the power of RAG with enterprise search chatbot Alfred on AWS, highlighted how Anduril Industries revolutionized enterprise search with Alfred, their innovative chat-based assistant powered by Retrieval-Augmented Generation (RAG) architecture. In this post, we examine the technical intricacies that make this system possible.

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Enabling AI leadership in the age of government efficiency

Global leaders are convening in Germany this week at the annual Munich Security Conference (MSC) to discuss key foreign policy and security challenges. Amid these discussions, one thing is clear: global leadership increasingly hinges on technological progress. In particular, the rapid progress of artificial intelligence (AI) presents an extraordinary opportunity for transformative innovation. For the U.S. government, this moment marks a crucial inflection point: embrace bold modernization of digital infrastructure and AI investment or risk being outpaced by global competitors.

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Transforming government application systems using intelligent document processing on AWS

Government agencies handle vast volumes of bureaucratic documents daily, ranging from tax forms to medical records. This document-heavy workflow, often reliant on manual processing, can result in delays, errors, and increased operational inefficiencies, causing frustration among both employees and stakeholders. This post explores how intelligent document processing (IDP) solutions from Amazon Web Services (AWS) can modernize bureaucratic workflows, improve efficiency, and enhance service delivery within government agencies.

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Harnessing the power of generative AI in AWS GovCloud

In this post, we explore how generative artificial intelligence (AI), powered by services such as Amazon Bedrock and Amazon SageMaker, can be harnessed to meet the unique challenges of AWS GovCloud (US). We highlight use cases that demonstrate the potential of generative AI to enhance efficiency, automate workflows, and extract insights—all within a secure, compliant framework.

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Precise Software Solutions implements ML as a service on AWS to save time and money for federal agency

Precise Software Solutions, Inc. (Precise), an Amazon Web Services (AWS) Partner, participated in the AWS Think Big for Small Business Program (TBSB) to expand their AWS capabilities and to grow their business in the public sector. After completion of the program, Precise achieved Advanced tier partner status and was selected by a federal government agency to create a machine learning as a service (MLaaS) platform on AWS. The platform helped the agency gain a four-fold productivity improvement by streamlining and automating labor-intensive manual processes. Read this post to learn more.

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The Mercatus Center solves unstructured data challenges using generative AI from AWS

Seeking to make access to economic policy documents easier, the Mercatus Center — a university-based research center affiliated with George Mason University — created a generative artificial intelligence (AI) solution. Mercatus developed a platform, QuantGov, with assistance from Amazon Web Services (AWS) resources, including Amazon Bedrock, AWS Lambda, AWS API Gateway, and AWS RDS. Accessible through an interactive AI assistant, the platform provides scalable, accurate, and no-cost access to a treasure trove of data, helping policymakers craft informed public policy that will positively impact people’s lives.

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Continuous monitoring and governance: AWS best practices for keeping your data secure during the holidays and beyond

As we look ahead to 2025, it’s crucial to maintain vigilance, especially during the holiday season, when cybersecurity risks tend to escalate. Many organizations use Amazon Web Services (AWS) to enhance their security posture and improve resilience. In this post, we discuss the AWS best practices for securing your data during the holiday season.

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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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39 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. Through this program, customers are making over 100 petabytes (PB) of high-value, cloud-optimized data available for public use. This quarter, AWS released 39 new or updated datasets.