AWS for Industries

Industry Insights: Personalized healthcare depends upon robust cybersecurity

This Industry Insights post is one in a series from AWS thought leaders in healthcare, life sciences, and genomics- exploring the impact of technological innovation and cloud computing in their industries The conference season is in full swing and finally in person again, after more than two years of virtual events due to COVID-19. As […]

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Improving Patient Engagement in clinical trials using voice and chat with AWS

Life sciences companies are rethinking patient engagement and legacy workflow processes in clinical trials due to low enrollment numbers and concerns around data quality. Voice and Chatbot solutions like Alexa and Amazon Lex, a fully managed conversational artificial intelligence (AI) service, can improve patient experience and increase patient engagement. An estimated 48% of clinical trials […]

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Know Before You Go: Retail Attendee Guide for AWS Summit London 2022

After two long years, we’re excited to welcome our customers back to AWS Summit London, an in-person event packed with brand new and exclusive content, sessions, demos, and activities. To help you navigate the event, we’ve assembled this guide to share our recommendations. Based on our extensive experience working with retail customers, these will help […]

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Auto-healing Persistent Virtual Network Functions on AWS

Introduction Network Functions Virtualisation (NFV) is an architecture concept in the telecom industry to enforce state-of-the-art technologies onto servers, network devices, and storage, in order to virtualize Network Functions (NFs). These days, multiple service providers are conceiving their virtual NFs (VNFs) in AWS, and this trend is accelerating further with containerized NFs (CNFs) and 5G. […]

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How Sigmoid Uses DataWig From Amazon Science for Missing Value Imputation to Make CPG Dataset Ready for Machine Learning

In the training of a machine learning (ML) model, the quality of the model is directly proportional to the quality of data. However, in many cases, in consumer packaged goods (CPG) datasets, there are a lot of missing values affecting the quality of training and prediction in the long run. If your models are already […]

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Using Structural Variant Analysis on AWS with Amazon FSx for Lustre in Novel Therapeutic Discovery

Using Structural Variant Analysis on AWS with Amazon FSx for Lustre in Novel Therapeutic Discovery

This post is coauthored by Adam Tebbe (VP of Computational Data Science and Technology), Eva Fast (Senior Computational Biologist), Sarthak Vilas Patel (Senior Data Engineer) from Goldfinch Bio, Inc. and Henrique Silva (Machine Learning Lead) from AWS Advanced Consulting Partner Loka. Goldfinch Bio is an early-stage biotechnology company, who is working towards developing novel, genetically-validated […]

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How to Create Great Customer Experiences Powered by Zendesk on AWS

The world of retail has shifted to an omnichannel experience, and it’s here to stay. That means retailers need to adapt to what customers want: being able to browse on their mobile phones while binge-watching Netflix, ordering online to pick up in store, or just going into your shop like they always did before. Each […]

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How Retailers Can Create an Intelligent Contact Center With Infosys Cortex and Amazon Connect

Digital commerce has grown exponentially, and that growth has subsequently increased the digital touchpoints where brands and customers interact. Because contact centers help retailers respond to customer questions and issues, they play a significant role in a retailer’s ability to earn and keep customers’ trust, especially when the contact center can help solve postpurchase challenges […]

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Fully automated CI/CD pipelines for deploying and managing Magma on AWS

Introduction Magma is an open-source, flexible, and extendable mobile core network solution. It is designed to be 3GPP generation and access network agnostic. Magma supports many radio technologies, such as LTE, 5G, and WiFi, and it enables use cases like mobile private networks, fixed wireless access, or mobile edge computing. It is governed by the […]

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Healthcare Transparency in Coverage Rule (TCR) – Cost-effectively Hosting Machine-Readable Files On AWS

by Umair Khalid, Dana Bullukian, Gokhul Srinivasan, Keith Wood, and Suresh Patnam | on | in Healthcare | Permalink |  Share

The Transparency in Coverage Rule (TCR) in the United States requires health insurers (payors) disclose information on their pricing agreements with healthcare providers. There are two phases to this regulation: The implementation of Phase 1, which must be complete by July 1, 2022, requires that payors publish machine-readable files (JSON, XML, or Parquet) publicly for each […]

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