Favorite Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy to add speech-to-text capabilities to your applications. Today, we’re excited to launch Japanese, Korean, and Brazilian Portuguese language support for Amazon Transcribe streaming. To deliver streaming transcriptions with low latency for these languages, we’re also announcing

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Shared by AWS Machine Learning December 1, 2020

Favorite This is a guest post authored by Rebecca Owens and Julian Hernandez, who work at Genesys Cloud.  Legacy technology limits organizations in their ability to offer excellent customer service to users. Organizations must design, establish, and implement their customer relationship strategies while balancing against operational efficiency concerns. Another factor

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Shared by AWS Machine Learning December 1, 2020

Favorite Ever since Amazon SageMaker was introduced at AWS re:Invent 2017, customers have used the service to quickly and easily build and train machine learning (ML) models and directly deploy them into a production-ready hosted environment. SageMaker notebook instances provide a powerful, integrated Jupyter notebook interface for easy access to

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Shared by AWS Machine Learning December 1, 2020

Favorite Amazon SageMaker Studio notebooks and Amazon SageMaker notebook instances are internet-enabled by default. However, many regulated industries, such as financial industries, healthcare, telecommunications, and others, require that network traffic traverses their own Amazon Virtual Private Cloud (Amazon VPC) to restrict and control which traffic can go through public internet.

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Shared by AWS Machine Learning December 1, 2020

Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps required to build, train, tune, debug, deploy, and monitor models. In this post, we demonstrate how you can create

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Shared by AWS Machine Learning November 28, 2020

Favorite Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). With a single click, data scientists and developers can quickly spin up SageMaker Studio notebooks to explore datasets and build models. On October 27, 2020, Amazon released a custom images feature that allows you

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Shared by AWS Machine Learning November 25, 2020

Favorite Every day, financial organizations need to analyze news articles, SEC filings, and press releases, as well as track financial events such as bankruptcy announcements, changes in executive leadership at companies, and announcements of mergers and acquisitions. They want to accurately extract the key data points and associations among various

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Shared by AWS Machine Learning November 25, 2020

Favorite This is a joint blog post with AWS Solutions Architects, Jorge Alfaro Hidalgo and Mauricio Zajbert, and Chester Perez, the Contact Center Manager at Xpertal. Fomento Económico Mexicano, S.A.B. de C.V. (FEMSA) is a Mexican multinational beverage and retail company headquartered in Monterrey, Mexico. Fomento Económico Mexicano, S.A.B. de

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Shared by AWS Machine Learning November 25, 2020

Favorite ¡Amazon Lex lanza soporte para español para América Latina! Amazon Lex startet auf Deutsch! Amazon Lex is a service for building conversational interfaces into any application using voice and text. Starting today, Amazon Lex supports Latin American Spanish and German. Now you can easily create virtual agents, conversational IVR

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Shared by AWS Machine Learning November 25, 2020

Favorite We’re excited to announce that you can now measure the accuracy of forecasts for individual items in Amazon Forecast, allowing you to better understand your forecasting model’s performance for the items that most impact your business. Improving forecast accuracy for specific items—such as those with higher prices or higher

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Shared by AWS Machine Learning November 25, 2020