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Favorite 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
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Shared by AWS Machine Learning November 6, 2021
Favorite 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
Read More Shared by AWS Machine Learning November 3, 2021
Favorite 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
Read More Shared by AWS Machine Learning November 3, 2021
Favorite 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
Read More Shared by AWS Machine Learning November 3, 2021
Favorite 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,
Read More Shared by AWS Machine Learning November 3, 2021
Favorite 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
Read More Shared by AWS Machine Learning November 3, 2021
Favorite 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
Read More Shared by AWS Machine Learning November 3, 2021
Favorite 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
Read More Shared by AWS Machine Learning November 3, 2021
Favorite City transportation is crucial to connecting residents to education, employment and essential services. At the same time, the transportation sector is where global greenhouse gas (GHG) emissions are rising the quickest. In 2018, we launched the Environmental Insights Explorer (EIE) in collaboration with the Global Covenant of Mayors for
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Shared by Google AI Technology November 2, 2021
Favorite I have blogged before about the two simultaneous and overlapping workstreams in an organisation – the product workstream, and the knowledge workstream. But what exactly is the in-house organisation that delivers your knowledge workstream? Any organisation that makes product, also makes knowledge about that product. Products are made through
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Shared by Nick Milton November 1, 2021