AWS Architecture Blog

Category: Amazon QuickSight

ML Solution Architecture

Field Notes: Gaining Insights into Labeling Jobs for Machine Learning

In an era where more and more data is generated, it becomes critical for businesses to derive value from it. With the help of supervised learning, it is possible to generate models to automatically make predictions or decisions by leveraging historical data. For example, image recognition for self-driving cars, predicting anomalies on X-rays, fraud detection […]

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3 views of the architecture

Why Deployment Requirements are Important When Making Architectural Choices

Introduction Too often, architects fall into the trap of thinking the architecture of an application is restricted to just the runtime part of the architecture. By doing this we focus on only a single customer (such as the application’s users and how they interact with the system) and we forget about other important customers like […]

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Virtual training on AWS and AI Services - Architecture

Measure Effectiveness of Virtual Training in Real Time with AWS AI Services

As per International Data Corporation (IDC), worldwide spending on digital transformation will reach $2.3 trillion in 2023. As organizations adopt digital transformation, training becomes an important aspect of this journey. Whether these are internal trainings to upskill existing workforce or a packaged content for commercial use, these trainings need to be efficient and cost effective. […]

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Store, Protect, Optimize Your Healthcare Data with AWS: Part 2

Leveraging Analytics and Machine Learning Tools for Readmissions Prediction This blog post was co-authored by Ujjwal Ratan, a senior AI/ML solutions architect on the global life sciences team. In Part 1, we looked at various options to ingest and store sensitive healthcare data using AWS. The post described our shared responsibility model and provided a […]

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