Tag: federal

Government agencies are increasingly using large language models (LLMs) powered by generative artificial intelligence (AI) to extract valuable insights from their data in the Amazon Web Services (AWS) GovCloud (US) Regions. In this guide, we walk you through the process of adapting LLMs to specific domains with parameter efficient fine-tuning techniques made accessible through Amazon SageMaker integrations with Hugging Face.

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.

Amazon Web Services (AWS) hosted its first Federal Executive Forum at Amazon HQ2 in National Landing in February, 2024. Forward-thinking leaders from across the US federal government working in civilian, financials, defense, and national security gathered to discuss emerging technologies, and share best practices and ways to use the cloud to advance their missions.

Many public sector customers are interested in building secure, cost-effective, reliable, and highly performant applications. Technologies like containerization and serverless help customers migrate and modernize their applications. In this blog post, learn how public sector customers use offerings from AWS like AWS Lambda, Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS) to build modern applications supporting diverse use cases, including those driven by machine learning (ML) and generative artificial intelligence (AI). If you want to learn more on this topic, please register to attend the webinar series, Build Modern Applications on AWS.

As more federal public sector organizations move toward cloud computing, many are looking for ways to make sure that they’re using the cloud effectively and efficiently. One way to do this is to establish a cloud center of excellence (CCoE). Learn how to build an effective CCoE to help streamline cloud adoption, security and innovation needs, reduce costs, and more.

AWS announced AWS Modular Data Center. This new service provides U.S. Department of Defense (DoD) customers with the ability to deploy compute and storage capabilities to support large-scale workloads wherever they need it, including in Disconnected, Disrupted, Intermittent, or Limited (DDIL) environments. Instead of relying on limited data center infrastructure or building from the ground up, this offering delivers a cost-effective, self-contained modular data center solution that supports customers’ data center scale workloads.

Learn how federal agencies are enacting new public access policies for data sharing, and how you can use AWS to prepare your research to meet these new data management and sharing requirements.

This blog post introduces Amazon Web Services (AWS) Trusted Internet Connections (TIC) 3.0 overlay artifacts. TIC is a federal cybersecurity initiative intended to enhance network and data security across the Federal Government.

The end of the US federal government fiscal year is fast approaching. With budget left to spend before September 30, agencies need to obligate their remaining 2022 fiscal year funds. AWS can provide federal agencies with options to procure future cloud computing resources using current-year funds. Learn more about efficient purchasing recommendations to meet your agency’s needs.

To mitigate synthetic fraud, government agencies should consider complementing their rules-based improper payment detection systems with machine learning (ML) techniques. By using ML on a large number of disparate but related data sources, including social media, agencies can formulate a more comprehensive risk score for each individual or transaction to help investigators identify improper payments efficiently. In this blog post, we provide a foundational reference architecture for an ML-powered improper payment detection solution using AWS ML services.