Tag: Artificial Intelligence

Learn more about the announcements, innovations, and customer success stories from AWS re:Invent to inspire EdTech innovation in 2025.

Learn how HubbleIQ uses generative AI on AWS to enhance its autonomous IT support services and democratize connectivity in a digital world.

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 HAQM Web Services (AWS) can modernize bureaucratic workflows, improve efficiency, and enhance service delivery within government agencies.

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 HAQM Web Services (AWS) to build resilient, secure, and innovative solutions.

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, HAQM Web Services (AWS) has developed a solution through HAQM 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.

David Appel, vice president of United States (US) Federal Sales at HAQM 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.

HAQM Bedrock is now generally available in the HAQM Web Services (AWS) Top Secret cloud. With authority to operate in the AWS Top Secret Cloud, HAQM 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.

In this post, we explore how generative artificial intelligence (AI), powered by services such as HAQM Bedrock and HAQM 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.

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 HAQM Web Services (AWS).

Precise Software Solutions, Inc. (Precise), an HAQM 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.