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Favorite “Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured data. The majority of data,
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Shared by AWS Machine Learning September 14, 2023
Favorite Searching for insights in a repository of free-form text documents can be like finding a needle in a haystack. A traditional approach might be to use word counting or other basic analysis to parse documents, but with the power of Amazon AI and machine learning (ML) tools, we can
Read More Shared by AWS Machine Learning September 13, 2023
Favorite This is a guest post from Scalable Capital, a leading FinTech in Europe that offers digital wealth management and a brokerage platform with a trading flat rate. As a fast-growing company, Scalable Capital’s goals are to not only build an innovative, robust, and reliable infrastructure, but to also provide
Read More Shared by AWS Machine Learning September 12, 2023
Favorite Application logs are an essential piece of information that provides crucial insights into the inner workings of an application. This includes valuable information such as events, errors, and user interactions that would aid an application developer or an operations support engineer to debug and provide support. However, when these
Read More Shared by AWS Machine Learning September 12, 2023
Favorite Today, we are excited to announce the simplified Quick setup experience in Amazon SageMaker. With this new capability, individual users can launch Amazon SageMaker Studio with default presets in minutes. SageMaker Studio is an integrated development environment (IDE) for machine learning (ML). ML practitioners can perform all ML development
Read More Shared by AWS Machine Learning September 12, 2023
Favorite Amazon SageMaker Domain supports SageMaker machine learning (ML) environments, including SageMaker Studio and SageMaker Canvas. SageMaker Studio is a fully integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all ML development steps, from preparing data to building, training,
Read More Shared by AWS Machine Learning September 11, 2023
Favorite Today, we are excited to announce that the Falcon 180B foundation model developed by Technology Innovation Institute (TII) is available for customers through Amazon SageMaker JumpStart to deploy with one-click for running inference. With a 180-billion-parameter size and trained on a massive 3.5-trillion-token dataset, Falcon 180B is the largest
Read More Shared by AWS Machine Learning September 11, 2023
Favorite This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy Machine learning (ML) is transforming every industry, process, and business, but the path to success is not always straightforward. In this blog post, we demonstrate how Duke Energy, a Fortune 150 company headquartered in Charlotte,
Read More Shared by AWS Machine Learning September 8, 2023
Favorite Digital publishers are continuously looking for ways to streamline and automate their media workflows in order to generate and publish new content as rapidly as they can. Publishers can have repositories containing millions of images and in order to save money, they need to be able to reuse these
Read More Shared by AWS Machine Learning September 8, 2023
Favorite For modern companies that deal with enormous volumes of documents such as contracts, invoices, resumes, and reports, efficiently processing and retrieving pertinent data is critical to maintaining a competitive edge. However, traditional methods of storing and searching for documents can be time-consuming and often result in a large effort
Read More Shared by AWS Machine Learning September 8, 2023