AWS Public Sector Blog
Category: Artificial Intelligence
Strengthen foundation model queries through Amazon Bedrock-Amazon Alexa integration
Today, generative artificial intelligence (AI) is at the core of many of the decisions and technologies businesses across the globe are implementing. The linchpin to ensuring that generative AI is effective depends on the foundation models (FMs) storing the data. To make sure that those FMs are pulling the correct data, Amazon Web Services (AWS) has developed a solution through Amazon Bedrock to generate SQL to answer user questions about the data. The solution was developed to support the Federal Institute of São Paulo (IFSP) and has optimized their decision-making.
Embracing generative AI to power mission innovation: Insights from AWS US Federal Vice President David Appel
David Appel, vice president of United States (US) Federal Sales at Amazon Web Services (AWS) Worldwide Public Sector (WWPS), is a determined and inspirational trailblazer who has built a service-based, customer obsessed career focused on making communities around the US and world a better place. In the 11th episode of AWS Behind the Cloud, he shared how mission innovation powered by AWS can help federal agencies solve complex problems and address mission-critical needs. Learn about this and much more by watching the latest episode.
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.
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.
The benefits of an email-based AI virtual assistant on AWS
In today’s fast-paced and competitive business landscape, companies are constantly seeking ways to enhance efficiency, streamline operations, and provide top-notch customer service. Artificial intelligence (AI) has emerged as a powerful tool to help companies achieve these goals while revolutionizing the way they interact with customers. In this post, you can read about the transformative potential of email-based virtual assistants—a standout among AI applications—powered by Amazon Web Services (AWS).
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.
Generating and editing AI images using Amazon Lightsail for Research
In this post, we show how Amazon Lightsail for Research can help you successfully deploy an artificial intelligence (AI) image generation model using open source software. We walk through deploying a Lightsail for Research GPU instance using a simplified console experience. We cover how to set up cost control rules in order to prevent or manage unnecessary costs. And we show how you can open network ports on your Lightsail for Research instance to allow others to access the software you are running.
Transforming student communications: How Dallas College modernized its call center with AWS
For decades, Dallas College has been a beacon of affordable higher education in the Dallas-Fort Worth metroplex. Founded in 1965, this community college has welcomed more than 3 million students through its doors, empowering them to forge new careers, obtain vital training, and give back to their community. However, as enrollment swelled over the years, […]
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.
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.