Tag: Amazon Kinesis

When government agencies choose Amazon Web Service (AWS) to store data, they choose to take advantage of inheriting the strictest security controls and standards. In addition, AWS services offer a unique opportunity to enhance networking and security approaches, ensuring safe and resilient data transfer mechanisms. This blog post provides guidance towards data sharing among government agencies, offering prescriptive approaches and best practices for implementing secure data exchange solutions using AWS services.

The Prosper Africa Tech for Trade Alliance is a collaboration uniting leading American and African tech companies behind the mission of accelerating e-commerce and digital trade in Africa. The recently announced collaboration between Amazon Web Services (AWS) and Choppies, a leading supermarket chain in Botswana, exemplifies the Alliance’s model of impact-oriented public-private partnerships. This post highlights the AWS-powered deployment of Choppies’ state-of-the-art Farmer’s app across its supplier network.

Citizens are increasingly expecting government to provide modern digital experiences for conducting online transactions. Market research tells us 63 percent of consumers see personalization as the standard level of service. This post offers various architectural patterns for improving customer experience for the public sector for a wide range of use cases. The aim of the post is to help public sector organizations create customer experience solutions on the Amazon Web Services (AWS) Cloud using AWS artificial intelligence (AI) services and AWS purpose-built data analytics services.

Kokomo24/7 is a health and safety software education technology (EdTech) platform committed to creating safer schools and communities. Kokomo used Amazon Web Services (AWS) database and analytics tools to create a health-tracking platform that allowed the Los Angeles Unified School District (LAUSD), the second-largest school district in the US, to cut its costs by 50 percent while improving flexibility and response times.

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.