AWS Machine Learning Blog

Category: Artificial Intelligence

Run AlphaFold v2.0 on Amazon EC2

After the article in Nature about the open-source of AlphaFold v2.0 on GitHub by DeepMind, many in the scientific and research community have wanted to try out DeepMind’s AlphaFold implementation firsthand. With compute resources through Amazon Elastic Compute Cloud (Amazon EC2) with Nvidia GPU, you can quickly get AlphaFold running and try it out yourself. […]

Read More

Intelligently split multi-form document packages with Amazon Textract and Amazon Comprehend

Many organizations spanning different sizes and industry verticals still rely on large volumes of documents to run their day-to-day operations. To solve this business challenge, customers are using intelligent document processing services from AWS such as Amazon Textract and Amazon Comprehend to help with extraction and process automation. Before you can extract text, key-value pairs, […]

Read More

Process and add additional file formats to your Amazon Kendra Index

If you have a corpus of internal documents that you frequently search through, Amazon Kendra can help you find your content faster and easier. These documents can be in different locations and repositories, and can be structured or unstructured. Amazon Kendra is a fully managed service backed by machine learning (ML). You don’t need to […]

Read More

Automate model retraining with Amazon SageMaker Pipelines when drift is detected

Training your machine learning (ML) model and serving predictions is usually not the end of the ML project. The accuracy of ML models can deteriorate over time, a phenomenon known as model drift. Many factors can cause model drift, such as changes in model features. The accuracy of ML models can also be affected by […]

Read More

Host RStudio Connect and Package Manager for ML development in RStudio on Amazon SageMaker

Today, we announced RStudio on Amazon SageMaker, the first machine learning (ML) integrated development environment (IDE) in the cloud for data scientists working in R. The open-source language R and its rich ecosystem with more than 18,000 packages has been a top choice for statisticians, quant analysts, data scientists, and ML engineers. RStudio on SageMaker […]

Read More

Get started with RStudio on Amazon SageMaker

Today, we’re excited to announce RStudio on Amazon SageMaker, the industry’s first fully-managed RStudio integrated development environment (IDE) in the cloud. You can now bring the current RStudio licenses and migrate your self-managed RStudio environments to Amazon SageMaker in a few simple steps. RStudio is one of the most popular IDEs among R developers for […]

Read More

Automated claims processing at Xactware with machine learning on AWS

This blog post was co-authored, and includes an introduction, by Aaron Brunko, Senior Vice President, Claims Product at Xactware. Property insurance claims involving the valuation and replacement of personal belongings can be a painful process for everyone involved after a loss. From catastrophic events such as hurricanes, tornados, and wildfires, to theft and vandalism, claim […]

Read More

Build a shelf monitoring application using AWS Panorama

Out-of-stock (OOS) is an essential metric tracked across the retail industry. Brick-and-mortar retailers seek to reduce their costs associated with OOS items, while simultaneously increasing shopper satisfaction without inventory surplus. A product can be OOS in three main ways: Distribution OOS, Store OOS, and Shelf OOS. This post focuses on Shelf OOS. Shelf OOS occurs […]

Read More

Deliver natural and efficient customer service experiences to mobile subscribers with Amazon Lex

Mobile service providers manage a high volume of customer service calls daily. Rapidly evolving network technology and device innovations are shaping customer expectations. Delighting callers with a quick interaction is core to a successful customer experience strategy. Mobile subscribers contact customer support for several reasons such as requesting a new SIM card, changing a plan, […]

Read More

Build conversational experiences for retail order management using Amazon Lex

Retailers want to stay engaged with their customers as they move seamlessly between digital channels and physical storefronts. By delivering personalized and consistent experiences across a range of retail touchpoints, companies can drive brand loyalty. Customers contact retailers’ customer support for reasons such as checking order status, updating shipping preferences, redeeming loyalty points, managing refunds, […]

Read More