Category: Analytics

This quarter, AWS released 34 new or updated datasets on the Register of Open Data. What will you build with these datasets? Read through this blog post for inspiration.

The first blog post in this series outlined considerations for developing API pipelines on AWS to extract data from third-party SaaS tools. With consolidated data, public sector organizations can offer new experiences for donors and members, enrich research datasets, and improve operational efficiency for their staff. This follow-up blog post presents options for ingesting SaaS data with API requests from AWS services, methods for handling payload data from API calls, and guidance for orchestration and scaling an API data pipeline on AWS.

As the amount of health data increases, different healthcare, life sciences, population health, and public health organizations are working to modernize their data infrastructure, unify their data, and innovate faster with technologies like artificial intelligence and machine learning (AI/ML). In this blog post, we dive deep on architecture guidance that enables healthcare providers to improve patient care.

Amazon Web Services (AWS) is launching its first Education Accelerator, giving EdTech founders the support and mentorship they need to bring innovative solutions to market by leveraging the power of data, analytics, AI/ML and the cloud.

In this blog post, learn key AWS concepts and services that can help agencies modernize their cloud and data architecture. First, learn two fundamental concepts that agencies need to examine regardless of their technical approach. Then, discover the AWS services that enable agencies to apply these concepts to meet mission needs.

This walkthrough explores how to leverage Amazon Forecast to derive valuable business insights in satellite communications use-cases. Operations teams can quickly see accurate satellite capacity forecasts on a per beam basis. The benefits include lower cost via provisioning just the right amount of bandwidth, and a more streamlined customer experience since users will be less impacted by weather or surge events.

Earlier this year, Eurostat, the statistical office of the European Union (EU), hosted the fourth edition of the European Big Data Hackathon on AWS. During this year’s event, participants were tasked with developing data analytics tools to build an early warning system using data from credit card transactions to alert of sudden changes in the economy relevant for EU policymakers. Learn how Eurostat leveraged the flexibility and scalability of AWS to allow 24 teams across Europe to compete and build a viable early warning system over four days.

What if paper forms could be processed at the same speed as digital forms? What if their contents could be automatically entered in the same database as the digital forms? Medicaid agencies could analyze data in near real time and drive actionable insights on a single dashboard. By using artificial intelligence (AI) and machine learning (ML) services from AWS, Medicaid agencies can create this streamlined solution. In this walkthrough, learn how to extract, analyze, and interpret relevant information from paper-based Medicaid claims forms.

This quarter, AWS released 36 new or updated datasets. As July 16 is Artificial Intelligence (AI) Appreciation Day, the AWS Open Data team is highlighting three unique datasets that are analysis-ready for AI. What will you build with these datasets?

There is power in data. Professors Monica Chiarini Tremblay and Rajiv Kohli at William & Mary’s Raymond A. Mason School of Business detail how Carlos Rivero, the former chief data officer of the Commonwealth of Virginia, created a foundation for data sharing in Virginia powered by multiple AWS solutions.