Tag: Amazon S3
Public sector organizations often utilize third-party Software-as-a-Service (SaaS) to manage various business functions, such as marketing and communications, payment processing, workflow automation, donor management, and more. This common SaaS landscape can lead to data silos where data becomes isolated in disparate systems and difficult to centralize for business insights. If existing SaaS connectors are not available, public sector organizations can use AWS to build an API-driven data pipeline to consolidate data from SaaS platforms offering open APIs. In this post, learn how to build an API data pipeline on AWS.
Learn how AWS Snowcone and Amazon S3 can help Government of Canada (GC) organizations securely transfer and store their data, and how two GC organizations have already used these services to migrate data securely. Find out how these AWS services address data security, privacy, and compliance with regulatory requirements specific to GC customers.
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.
Orbital Sidekick (OSK) uses advanced satellite technology and data analytics to help the energy industry protect pipelines and make them less vulnerable to risks such as leaks, contamination, and damage caused by construction and natural disasters. OSK uses compute and analytics services from AWS to power the scalable OSK data pipeline and imagery storage solution in order to persistently monitor tens of thousands of miles of pipeline energy infrastructure and deliver real-time, actionable insights to customers.
Automatically extracting email attachment data to reduce costs and save time for local public health departments
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.
McGraw Hill, an AWS Partner, is an education technology (EdTech) and publishing company that provides educational content, software, and services for pre-K through postgraduate education. To meet evolving learner needs, McGraw Hill recently launched the SHARPEN app—a mobile study app that mimics the types of social media content feeds familiar to young learners to foster educational success. Developed in collaboration with the AWS Growth Advisory Team, this dynamic learning experience uses AWS.
Civix, a government technology (GovTech) company and AWS Partner, uses AWS to provide software and services that support multiple public sector use cases, including election management, grants management, and more. Civix saw an opportunity to streamline how filers and third-party vendors manage and report disclosure data to states. Civix worked with the AWS Service Creation team to design and launch a serverless solution on AWS to support filers and campaign management vendors and to increase finance transparency for the constituents they serve.
In this blog post, learn a high-level architecture, built on AWS, that uses a graph database to analyze unstructured and structured educational data that can, for example, help inform a recommendation to a student for the appropriate courses to take in their next semester based on multiple personalized data factors.
Airports receive data from dozens of disparate sources, but this data can lack the collective unity needed to see the bigger picture. The Cincinnati Northern Kentucky International Airport (CVG) saw an opportunity to turn down the proverbial volume on their data. Using AWS, CVG created a first-of-its-kind tool using data for predictive analytics and proactive notifications, now known as Enterprise Awareness & Situational Exceptions (EASE).
Singapore’s National University Health System (NUHS) collaborated with Integrated Health Information Systems (IHiS), Singapore’s technology agency for the public sector, to develop the OneNUHS App. The mobile healthcare application extends healthcare services beyond the hospital, providing telehealth services like video consultations with doctors and more. To accelerate time-to-launch, save costs, and support reliable access for Singaporeans, the OneNUHS app uses AWS.