Tag: AWS CloudFormation

Satellite communications (satcom) networks typically offer a rich set of performance metrics, such as signal-to-noise ratio (SNR) and bandwidth delivered by remote terminals on land, sea, or air. Customers can use performance metrics to detect network and terminal anomalies and identify trends to impact business outcomes. This walkthrough presents an approach using serverless resources from AWS to build satcom control plane analytics pipelines. The presented architecture transforms the data to extract key performance indicators (KPIs) of interest, renders them in business intelligence tools, and applies machine learning (ML) to flag unexpected SNR deviations.

Local public health departments must notify public health agencies, like state health departments or the Centers for Disease Control and Prevention (CDC), of reportable conditions. These departments receive various types of reports of healthcare conditions through email, in addition to more traditional methods such as mail, fax, or phone calls. Local health departments can dramatically reduce the time and costs associated with manually processing email attachments and improve processing efficiency using automation. In this blog post, learn how to create an automated email attachment ingestion, storage, and processing solution powered by artificial intelligence (AI) and machine learning (ML) services from AWS.

As one-time donations increasingly become the norm, nonprofit development teams are challenged to think outside-the-box to attract, retain, and communicate with their valuable supporters. Nonprofit organizations can use data to inform an enhanced engagement strategy, but many are challenged to unlock the full value of that data affordably and at scale. To help nonprofits use the cloud to build innovative fundraising and member engagement solutions, we are launching a new program – AWS TechAction.

An Aadhaar number is a 12-digit unique identification number issued by the Unique Identification Authority of India (UIDAI) to every individual in India. Considering the sensitivity of the Aadhaar number and the potential implication of having one’s Aadhaar number compromised, UIDAI mandated the need for all Aadhaar and Aadhaar-related data to be encrypted and stored separately in a secure, access-controlled data repository known as an Aadhaar Data Vault. This blog post explains how government and private entities that collect, process, and store Aadhaar data for various use cases can use AWS CloudHSM from AWS to create an Aadhaar data storage solution that can meet guidelines provided by UIDAI.

Easterseals, DC MD VA is a multifaceted nonprofit organization with the goal of enriching lives and expanding opportunities for children and adults in the Washington DC, Maryland, and Virginia (DMV) area, including people with disabilities and military backgrounds. With support from our account team at AWS, Easterseals established a data lake to better understand and define the impact our organization has on its participants with the overarching goal of empowering all people to to achieve their potential and live meaningful lives.

SkillsFuture Singapore (SSG), a statutory board under the Ministry of Education (MOE), aims to promote a culture of lifelong learning in Singapore and strengthen the country’s ecosystem of industry-relevant training and adult education. SSG provides access to high quality, industry-relevant training, and jobs and skills insights. To power their digital training portal and make sure every Singaporean has access to training resources, education opportunities, and more, SSG uses AWS.

Citi Logik is a UK-based government technology (GovTech) company and AWS Partner with Amazon Web Services (AWS). Citi Logik uses AWS to enhance anonymised raw mobile network data (MND) so organisations can identify trends in the flow of people across a variety of different transportation modes. Citi Logik provides their customers, including the West Yorkshire Combined Authority and Wiltshire County Council, with valuable insights to help them make informed decisions about future transportation planning and urban planning development.

At the Baylor College of Medicine Human Genome Sequencing Center (BCM HGSC), we aim to advance precision medicine and research in genomics. In that effort, we joined the ambitious All of Us Research Program funded by the National Institutes of Health (NIH) to help deliver genomic data to over one million individuals across the United States. In early 2019, we estimated that processing whole genome samples for this megaproject would imply a scale-up of over four times the production workload of our center. We used AWS to support our new pipeline demands, which saved time, reduced costs, and created new opportunities for future development.

eVisit’s role as a participant in the AWS Health Equity Initiative provided me with the opportunity to serve as a panelist at this year’s AWS Summit Washington, DC in May. I presented alongside other AWS health equity program partners to outline our collective efforts to increase access to healthcare services in underserved communities, reduce disparities by addressing social determinants of health (SDoH), and leverage data to promote equitable systems of care.

Increasingly, AWS customers are operating workloads both in AWS GovCloud (US) and standard AWS Regions. Dependencies between workloads, changing data controls, or enrichment of data across multiple data levels are examples of business needs that may require moving data in and out of AWS GovCloud (US). In this blog post, I explain how to move data between Amazon Simple Storage Service (Amazon S3) buckets in the AWS GovCloud (US) and standard partitions.