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Tag: AWS Machine Learning

Best practices for building secure applications with Amazon Transcribe | Amazon Web Services

Amazon Transcribe is an AWS service that allows customers to convert speech to text in either batch or streaming mode. It uses machine learning–powered...

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T-Mobile US, Inc. uses artificial intelligence through Amazon Transcribe and Amazon Translate to deliver voicemail in the language of their customers’ choice | Amazon...

This post is co-authored by Dhurjati Brahma, Senior Systems Architect at T-Mobile US, Inc and Jim Chao, Principal Engineer/Architect at T-Mobile US, Inc and...

How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline | Amazon Web Services

In this post, we discuss how United Airlines, in collaboration with the Amazon Machine Learning Solutions Lab, build an active learning framework on AWS...

SambaSafety automates custom R workload, improving driver safety with Amazon SageMaker and AWS Step Functions | Amazon Web Services

At SambaSafety, their mission is to promote safer communities by reducing risk through data insights. Since 1998, SambaSafety has been the leading North American...

Build a multilingual automatic translation pipeline with Amazon Translate Active Custom Translation | Amazon Web Services

Dive into Deep Learning (D2L.ai) is an open-source textbook that makes deep learning accessible to everyone. It features interactive Jupyter notebooks with self-contained code...

Accelerate protein structure prediction with the ESMFold language model on Amazon SageMaker

Proteins drive many biological processes, such as enzyme activity, molecular transport, and cellular support. The three-dimensional structure of a protein provides insight into its...

Predicting new and existing product sales in semiconductors using Amazon Forecast

This is a joint post by NXP SEMICONDUCTORS N.V. & AWS Machine Learning Solutions Lab (MLSL) Machine learning (ML) is being used across a...

Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

Tens of thousands of AWS customers use AWS machine learning (ML) services to accelerate their ML development with fully managed infrastructure and tools. For...

How Marubeni is optimizing market decisions using AWS machine learning and analytics

This post is co-authored with Hernan Figueroa, Sr. Manager Data Science at Marubeni Power International. Marubeni Power International Inc (MPII) owns and invests in...

How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

This post is co-written with Olivia Michele and Dariswan Janweri P. at Ruparupa. Ruparupa was built by PT. Omni Digitama Internusa with the vision...

Advanced reporting and analytics for the Post Call Analytics (PCA) solution with Amazon QuickSight

Organizations with contact centers benefit from advanced analytics on their call recordings to gain important product feedback, improve contact center efficiency, and identify coaching...

Your Guide to Pricing Transformations in 2023

Welcome to the fourth edition of the Pricing Transformations series. This year we look back at 2022 and forward to 2023, measuring how our...

AWS positioned in the Leaders category in the 2022 IDC MarketScape for APEJ AI Life-Cycle Software Tools and Platforms Vendor Assessment

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. This...

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