Category: Amazon Bedrock

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.

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.

Healthcare organizations face a significant challenge in making sense of the vast amounts of unstructured medical data trapped in patient records, lab results, and clinical guidelines. Approximately 97 percent of the 50 petabytes (PB) of healthcare data generated annually goes unused. This untapped resource could hold the key to improving patient care and saving valuable clinician time. Read this post learn how we built an innovative solution on Amazon Web Services (AWS) generative artificial intelligence (AI) capabilities that lets clinicians unlock this data treasure trove.

In this post, we showcase a Retrieval-Augmented Generation (RAG) application that can search and query across multiple Indian languages using the Cohere Embed – Multilingual model and Anthropic Claude 3 on Amazon Bedrock. This post focuses on Indian languages, but you can use the approach with other languages that are supported by the large language model.

During AWS re:Invent 2024, an Innovation Session presented by Worldwide Public Sector Vice President Dave Levy illustrated how AWS empowers customers to innovate and tackle critical challenges faster and more efficiently using cloud technology and generative artificial intelligence (AI). Take a few minutes to read this post and learn more about the transformative initiatives, inspiring customer stories, and technological developments that help AWS public sector customers improve life on Earth.

At Amazon Web Services (AWS), we believe in the power of cloud technology to transform healthcare and improve lives. Because of this, at AWS re:Invent 2024 we announced a commitment of up to $2 million in AWS credits to help four Advanced Research Projects Agency for Health (ARPA-H) Sprint for Women’s Health launchpad awardees address critical unmet challenges in women’s health.

At Amazon Web Services (AWS), we are committed to empowering our partners to accelerate their cloud innovation journeys. Our AWS Partner Transformation Program (PTP) is an important part of this commitment, offering comprehensive assessment, training, and enablement to help our public sector partners build successful and profitable AWS-based businesses.

Governors for Schools is a charity operating across England and Wales to find and place volunteers on school and academy governing boards. Amazon Web Services (AWS) has worked with Governors for Schools by providing financial support, in addition to more than 100 AWS employees applying to take on school governance roles, providing much needed technical expertise in education. But in this post, we explain how Governors for Schools used Amazon Bedrock to process unstructured documents and generate meaningful insights into UK schools.

Amazon Web Services (AWS) offers a variety of options for building chat-based assistants with generative artificial intelligence (AI) capabilities. The goal of this post is to present in simple words some of these options and what to keep in mind to decide which to use and how to get started.

Studies indicate hackathons improve individual and organizational productivity, strengthen company culture, increase collaboration, and accelerate learning. Amazon Web Services (AWS) is a natural complement to these events, because the utility model reduces the cost of experimentation, accelerating progress. AWS frequently partners with customers on hackathons, and this post details a recent engagement with INRIX, Inc., which provides innovative services to organizations operating in the automotive and transportation sectors, offering real-time parking and traffic information and solutions for road safety.