Category: Analytics

Global leaders are convening in Germany this week at the annual Munich Security Conference (MSC) to discuss key foreign policy and security challenges. Amid these discussions, one thing is clear: global leadership increasingly hinges on technological progress. In particular, the rapid progress of artificial intelligence (AI) presents an extraordinary opportunity for transformative innovation. For the U.S. government, this moment marks a crucial inflection point: embrace bold modernization of digital infrastructure and AI investment or risk being outpaced by global competitors.

In an earlier post, Build secure and scalable data platforms for the European Health Data Space (EHDS) with AWS, we discussed a reference architecture for building secure and scalable data platforms for secondary usage of health data in alignment with the European Health Data Space (EHDS) using Amazon Web Services (AWS). This follow-up post walks you through the technical implementation details for building such federated data governance and analysis platforms using AWS. Whether you are a healthcare organization, technology provider, or systems integrator, this post aims to equip you with the technical knowledge to build a secure data platform for secondary usage of health data in alignment with the EHDS Regulation.

Sharing data is essential for organizations to make informed decisions and foster innovation. Amazon Web Services (AWS) offers a variety of tools and services to help distribute data securely and at scale. Whether it’s sharing public data for the common good, monetizing private datasets for business purposes, or collaborating with colleagues, AWS provides the necessary infrastructure and support. Read this post to learn more.

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.

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.

This post discusses how FIA Tech, a leading technology provider for the exchange traded derivatives (ETD) industry, built the Trade Data Network (TDN) on Amazon 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.

The American College of Radiology (ACR) is a nonprofit organization and world leader supporting the radiology community. Founded in 1923, ACR represents more than 41,000 diagnostic and interventional radiologists, radiation oncologists, nuclear medicine physicians, and medical physicists. In this post, we share how ACR implemented a Statistical Analysis System (SAS) solution on Amazon Web Services (AWS) to accomplish their big data processing and analysis needs, resulting in better cost optimization, performance improvements, and improved scalability.

Federal agencies can use Amazon Web Services (AWS) to meet Trusted Internet Connections (TIC) 3.0 requirements. To facilitate this, AWS has published detailed architectural overlays that demonstrate how to effectively implement TIC 3.0 guidelines within AWS deployments. AWS Verified Access (AVA) is a cloud-based service that enables secure access to applications without requiring the use of a virtual private network (VPN). It evaluates each application request and gives users access to each application only when they meet the specified security requirements. AVA supports TIC 3.0 requirements in the areas of configuration management, centralized log management, strong authentication features, resilience, and policy enforcement. Read this post to learn more.

In this post, we provide technical guidance to help satellite operators build, deploy, and analyze satcom waveforms on Amazon Web Services (AWS). Details are provided about the orchestration of multiple waveforms, including an example of one Amazon Field-Programmable Gate Array (FPGA) Image being swapped in for another. We analyze the FPGA utilization and metrics in Amazon CloudWatch and Amazon QuickSight, and validate network performance against system latency requirements. Finally, we recommend actions you can take to build an agile satcom strategy.

The AWS Open Data Sponsorship Program makes high-value, cloud-optimized datasets publicly available on Amazon Web Services (AWS). AWS works with data providers to democratize access to data by making it available to the public for analysis on AWS; develop new cloud-based techniques, formats, and tools that lower the cost of working with data; and encourage the development of communities that benefit from access to shared datasets. Through this program, customers are making over 100 petabytes (PB) of high-value, cloud-optimized data available for public use. This quarter, AWS released 39 new or updated datasets.