Tag: Amazon Kinesis
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.
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.
Cybersecurity analytics is a systematic methodology designed to collect, ingest, process, aggregate, and analyze security events. This methodology empowers organizations to proactively perform security investigations, powered by advanced analytics and machine learning (ML), which help mitigate cyber issues more effectively and efficiently at scale. Learn about the core components of a cybersecurity analytics framework and how organizations can use AWS to design a cybersecurity analytics platform with analytics and ML services.
Advances in technology are transforming the way health research can be conducted. It is now possible to integrate data from siloed sources into a data lake, a central repository where health data are aggregated and analyzed at scale. Now, more than ever, there are opportunities for collaborative research to accelerate life-saving medical innovation – and that’s exactly what JDRF International, the leading global Type 1 Diabetes research and advocacy organization, is doing with AWS.
Vandenberg Space Force Base (VSFB), also known as the Western Launch and Test Range, is one of only two U.S. Space Force launch ranges. A safe rocket launch relies on the ability of Western Range meteorologists to gather and analyze weather data in real-time. The Western Range team wanted to switch to an agile, cloud-based solution that would streamline data analysis and keep operators safe—which prompted them to call on students and AWS Cloud experts at the California Polytechnic State University (Cal Poly) Digital Transformation Hub (DxHub), powered by AWS, to help VSFB prototype a solution.
Skillshare is the largest global online learning community for creativity. They offer thousands of inspiring classes for creative and curious people on topics including illustration, design, photography, video, freelancing, and more. Skillshare wanted their members to easily discover relevant content with a seamless discovery process of personalized recommendations. Skillshare decided to test Amazon Personalize from AWS to make these data-fueled recommendations for members with machine learning. This blog post describes their Amazon Personalize solution architecture, their AWS Step Functions process, and the results of their experiment.
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).
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.
With more than 1,400 different systems that healthcare providers use to run their scheduling, and millions of Chicago residents seeking a vaccine, a unified, citywide rollout for COVID-19 vaccinations is a challenge. Like many municipalities, early in the pandemic, the city of Chicago preferred to offer its residents a centralized find-and-book appointment system for COVID-19 testing, but other priorities and operational challenges prevented this. However, for vaccines, the team leading the city’s COVID-19 vaccination response was determined to deliver a more seamless experience for residents. The city used the Zocdoc Vaccine Scheduler built on AWS.
Telehealth solutions make virtual, real-time interactions between patient and provider possible. These solutions can be beneficial for both patients and care providers, letting patients receive care without having to step into a doctor’s office—a key feature that has benefits for those in hard-to-reach or rural areas and patients with mobility issues. Additionally, these solutions can help reduce physical traffic in hospitals, which is imperative during the pandemic. Customers around the globe share how building on AWS, helps them scale, innovate, and operate at scale to improve the patient and care provider experience.