Category: HAQM RDS

In this post, we describe how AWS Partner CIMAR’s medical image management platform is enabling the rapid roll-out, scaling, and operation of the National Health Service (NHS) England’s national lung cancer program, connecting 124 acute NHS trusts and multiple mobile scanning units.

Organizations require solutions for real time or near real time dashboards that can be provided to their customers without impacting their database performance or service level agreements (SLAs) to their end users. In this post, we showcase the integration of HAQM Web Services (AWS) capabilities to present an end-to-end architecture for this data flow.

Learn how Benchmark Education Company worked closely with HAQM Web Services (AWS) to build a grading tool powered by generative artificial intelligence (AI) to help teachers dramatically reduce the time they spend grading open-ended assessments—while maintaining accuracy, privacy, and trust.

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.

This post discusses how FIA Tech, a leading technology provider for the exchange traded derivatives (ETD) industry, built the Trade Data Network (TDN) on HAQM Web Services (AWS). TDN is an industry initiative that provides a shared ledger of trading information to address the fragmentation and lack of transparency in ETD post-trade processing. The TDN initiative currently includes 17 banks/brokers and 40 investment managers and hedge funds with combined assets under management of more than $34 trillion.

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 HAQM Web Services (AWS) resources, including HAQM 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.

In countries where demand for healthcare outweighs available resources, and populations are spread out in remote locations, open source technologies using HAQM Web Services (AWS) can transform providers’ and patients’ experience. Bahmni, an open source electronic medical records (EMR) system is one that we have pioneered. It gives doctors rapid access to up-to-date health records and test results so that they have better information and more time for patient care. A system that started in a single hospital in a remote part of central India is now used by more than 500 hospitals in 50 countries.

HAQM 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.

In 2019, Pennsylvania State University (Penn State) began looking for a better way to meet the needs of its digital-native student population—specifically, a seamless way to connect students with on-campus resources. Seeking to create a personalized mobile app experience, Penn State partnered with Modo Labs, an educational technology company (EdTech) offering a no-code app-building platform powered by HAQM Web Services (AWS). The result of this collaboration was Penn State Go, an all-in-one platform that quickly connects students to vital resources and services.

Many South African institutions of higher learning are suffering from underfunding, which affects their ability to remediate these issues. Students in South Africa face numerous challenges as well. Statistics from StatsSA report a 45.5 percent unemployment rate among young individuals (aged 15–34 years). And limited educational opportunities and economic disadvantages are the primary factors driving elevated rates of unemployment. This post highlights the impact that reliable and efficient education systems can have on reducing the challenges facing higher education in South Africa.