AWS Machine Learning Blog

Category: Artificial Intelligence

Securing data analytics with an Amazon SageMaker notebook instance and Kerberized Amazon EMR cluster

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 data sources for exploration and analysis. […]

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Customization, automation and scalability in customer service: Integrating Genesys Cloud and AWS Contact Center Intelligence

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 to consider is the constant evolution […]

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Amazon Transcribe streaming adds support for Japanese, Korean, and Brazilian Portuguese

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 availability of Amazon Transcribe streaming in […]

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Real-time anomaly detection for Amazon Connect call quality using Amazon ES

If your contact center is serving calls over the internet, network metrics like packet loss, jitter, and round-trip time are key to understanding call quality. In the post Easily monitor call quality with Amazon Connect, we introduced a solution that captures real-time metrics from the Amazon Connect softphone, stores them in Amazon Elasticsearch Service (Amazon […]

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Analyzing data stored in Amazon DocumentDB (with MongoDB compatibility) using Amazon Sagemaker

One of the challenges in data science is getting access to operational or real-time data, which is often stored in operational database systems. Being able to connect data science tools to operational data easily and efficiently unleashes enormous potential for gaining insights from real-time data. In this post, we explore using Amazon SageMaker to analyze […]

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Creating Amazon SageMaker Studio domains and user profiles using AWS CloudFormation

February 2021 Update: Customers can now use native AWS CloudFormation code templates to model the infrastructure set up for Amazon SageMaker Studio and configure its access for users in their organizations at scale. For more information, please see the announcement post.  Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning […]

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Your guide to artificial intelligence and machine learning at re:Invent 2020

With less than a week to re:Invent 2020, we are feeling the excitement and thrill, and looking forward to seeing you all at the world’s premier cloud learning event. As always, artificial intelligence (AI) and machine learning (ML) continue to be on the list of top topics with our customers and partners. We’re making it […]

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Amazon Forecast now supports accuracy measurements for individual items

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 costs—is often more important than optimizing […]

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Amazon Lex launches support for Latin American Spanish and German

¡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 systems, self-service chatbots, or application bots […]

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How Xpertal is creating the Contact Center of the future with Amazon Lex

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 C.V., or FEMSA, is a Mexican […]

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