Tag: technical how-to

Rideshare demand prediction is a well-explored topic in academia and industry, with abundant online resources offering diverse modeling frameworks tailored to different geographic contexts. A challenge with rideshare demand prediction, however, is that the trip data required to calibrate or train models can be exceptionally large. In this post, we explore the challenges of big data analytics and showcase how ArcGIS GeoAnalytics Engine, a spatial analytics library for the Apache Spark environment, can be used on Amazon EMR to effectively address these problems.

Amazon Web Services (AWS) Wickr is an end-to-end encrypted messaging and collaboration service with features designed to keep internal and external communications secure, private, and compliant. In this post, we present an architecture that uses the Wickr messaging solution for protected communication with a generative AI backend system, which uses an existing open source project: the AWS GenAI Chatbot. Read this post to learn more.

Generative artificial intelligence (AI) can transform the experience of state and local government constituents. With Amazon Lex, you can design and build sophisticated voice and text conversational interfaces, deploy omnichannel experiences with pre-built integrations to contact center solutions, and pay only for speech and text requests with no upfront costs or minimum fees. This post provides a technical walkthrough for building a generative AI chat-based solution.

Singapore General Hospital (SGH), SingHealth Office of Academic Informatics (OAI), and Amazon Web Services (AWS) collaborated to develop a cost-effective, scalable cloud infrastructure that enables researchers to perform their own analyses on a centrally secured and compliant cloud platform. AWS HealthOmics offers a suite of services that help bioinformaticians, researchers, and scientists to store, query, analyze, and generate insights from genomic and other biological data. Read this post to learn more about the three primary components of HealthOmics used in the solution.

As federal agencies migrate to the Trusted Internet Connections (TIC) 3.0 framework, they will use Amazon Web Services (AWS) to exit to the internet, bypassing the TIC network. This transition requires agencies to plan and coordinate migration activities to verify seamless IPv6 connectivity. Agencies need to coordinate advertising their IPv6 prefixes with AWS, using mechanisms like Bring your own IP addresses (BYOIP). The migration process could involve changes in routing policies, firewall rules, and security controls to accommodate the IPv6 prefix changes. Read this post to learn more.

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 Natural History Museum (NHM) in London is a world-class visitor attraction and a leading science research center. NHM and Amazon Web Services (AWS) have partnered up to transform and accelerate scientific research by bringing together a broad range of biodiversity and environmental data types in one place for the first time. In an earlier post, we discussed NHM’s overall vision for using open data in combination with large-scale compute, data systems, and machine learning (ML) to create the Planetary Knowledge Base (PKB), a knowledge graph of global biodiversity. In this post, we focus on the underlying services and architecture that comprise the PKB.

Transit authorities have to maintain the location and schedule of large numbers of vehicle fleets on a daily basis. Most commonly, GPS coordinates are used to track vehicle location and transportation route. GPS coordinates often have anomalies that can contaminate location reporting. Additionally, if a vehicle takes a detour, it will offset public transportation schedules. Both cases impact the riders negatively. Keeping track and getting notified is a challenge. In this post, we look into an anomaly detection mechanism for public transportation using Amazon Web Services (AWS) offerings.

A flexible architecture is a crucial factor in unlocking the full potential of generative artificial intelligence (AI) solutions. In this post, we cover an Amazon Web Services (AWS) Cloud infrastructure with a modular architecture that enables you to explore and take advantage of the benefits from different open source foundation models in a flexible way. This solution provides several benefits.

Many Amazon Web Service (AWS) customers in regulated environments such as the U.S. Department of Defense (DoD) struggle to gain security approval to take advantage of the scaling of Amazon Elastic Cloud Compute (Amazon EC2) using its Auto Scaling capabilities. This is often attributed to configuration management, total asset inventory, compliance with agency third-party security tools, and agency authorization documentation. This post provides AWS recommended best practices for implementing EC2 Auto Scaling in DoD environments.