Category: Analytics

Electronic notifications of patient events are a vital mechanism for care providers to improve care coordination and promote appropriate follow-up care in a timely manner. This post shows how a combination of Amazon Web Services (AWS) technologies, like AWS Lambda, Amazon Comprehend Medical, and AWS Fargate, can effectively manage and deliver actionable data to help healthcare customers deliver electronic notifications in a secure and efficient way.

In the Greater Stockholm Area, SL (Stockholm Public Transport) is responsible for public transport services for more than three million citizens. SL is transforming their ticketing system with a new, “future-proof” alternative built and managed in-house. This major digital transformation project, built on the Amazon Web Services (AWS) Cloud and using microservices, is currently being rolled out across the city. The new ticketing system is an integral part of SL’s commitment to make sure everyone who lives, works in, or visits Stockholm, “has access to well-developed, easily accessible and reliable public transport.”

Maryland Transportation Institute (MTI), an interdisciplinary research and education organization based out of the University of Maryland, focuses on solving complex transportation problems. When COVID-19 hit, MTI was presented with an urgent new problem: the organization was tasked with gathering, processing, and reporting daily transportation data from nearly 65% of the US population. To keep the public safe, they needed more computing power—quickly. They used the AWS Cloud.

Since 2003, the US federal government has made approximately $1.7 trillion in improper payments, with an estimated $206 billion made in FY 2020 alone. Improper payments are now anticipated to increase proportionally to new levels of federal spending. How can agencies fight improper payments at this scale? And what tools can agencies use to address fraud, erroneous data submission and other causes of this problem? Agencies can use AWS to solve the multi-sided issues of payment integrity.

Education technology (EdTech) company GoGuardian announces the availability of a Go Client library for Amazon Kinesis Data Streams via open source. Go is a widely used language among developers for streaming applications that was previously not available for Amazon Kinesis Data Streams (Amazon KDS).

Data is an invaluable asset in the world of nonprofits. In this blog post, we offer a technical walkthrough to learn how nonprofits of all sizes can use Amazon QuickSight to quickly create interactive dashboards with the help of machine learning, providing a self-service way to effectively consume and analyze data without writing any code or having to worry about infrastructure.

The Barnes Foundation is home to a legendary art collection, including some of the world’s most important impressionist, post-impressionist, and modern paintings. At the core of its mission is the advancement of education and art appreciation. When the COVID-19 pandemic shut down in-person tours and classes, the Barnes Foundation used the cloud to quickly pivot to develop and launch new online programming to continue to deliver their educational mission, and allowed them to triple enrollment in online courses for adults and reach 40 percent more school-age students during the 2020-2021 school year compared to in-person courses in pre-pandemic years.

During the COVID-19 pandemic, educational institutions that operated on in-person model shifted many of their traditionally in-person operations and activities—including grading, assessments and testing, and admissions—to a virtual format, where many had never been before. Educational technology (EdTech) companies around the world used the cloud to help quickly create and scale to meet the needs of these academic institutions while maintaining a consistent and smooth student experience.

Using data lakes, nonprofits can use data to influence strategy and inform decisions that produce value and impact. In this post, learn how to build a data lake, ingest data from a PostgreSQL server, give permissions to users to consume the data using AWS Lake Formation, and access and analyze the data using Amazon Athena.

Predictive maintenance solutions involve using artificial intelligence (AI) algorithms and data analytics tools to monitor operations, detect anomalies, and predict possible defects or breakdowns in equipment before they happen. To help keep aircraft mission ready, the Air Force turned to PavCon, LLC, (PavCon), a woman-owned small business, to create an actionable predictive maintenance solution powered by Amazon Web Services (AWS).