Control formality in machine translated text using Amazon Translate

Favorite Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. Amazon Translate now supports formality customization. This feature allows you to customize the level of formality in your translation output. At the time of writing, the formality customization feature is available for six

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Shared by AWS Machine Learning February 23, 2022

Bongo Learn provides real-time feedback to improve learning outcomes with Amazon Transcribe

Favorite Real-time feedback helps drive learning. This is especially important for designing presentations, learning new languages, and strengthening other essential skills that are critical to succeed in today’s workplace. However, many students and lifelong learners lack access to effective face-to-face instruction to hone these skills. In addition, with the rapid

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Shared by AWS Machine Learning February 16, 2022

How SIGNAL IDUNA operationalizes machine learning projects on AWS

Favorite This post is co-authored with Jan Paul Assendorp, Thomas Lietzow, Christopher Masch, Alexander Meinert, Dr. Lars Palzer, Jan Schillemans of SIGNAL IDUNA. At SIGNAL IDUNA, a large German insurer, we are currently reinventing ourselves with our transformation program VISION2023 to become even more customer oriented. Two aspects are central

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Shared by AWS Machine Learning February 16, 2022

Apply profanity masking in Amazon Translate

Favorite Amazon Translate is a neural machine translation service that delivers fast, high-quality, affordable, and customizable language translation. This post shows how you can mask profane words and phrases with a grawlix string (“?$#@$”). Amazon Translate typically chooses clean words for your translation output. But in some situations, you want

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Shared by AWS Machine Learning February 11, 2022

Reduce costs and complexity of ML preprocessing with Amazon S3 Object Lambda

Favorite Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. Often, customers have objects in S3 buckets that need further processing to be used effectively by consuming applications. Data engineers must support these application-specific data views with trade-offs between

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Shared by AWS Machine Learning February 10, 2022

Extract entities from insurance documents using Amazon Comprehend named entity recognition

Favorite Intelligent document processing (IDP) is a common use case for customers on AWS. You can utilize Amazon Comprehend and Amazon Textract for a variety of use cases ranging from document extraction, data classification, and entity extraction. One specific industry that uses IDP is insurance. They use IDP to automate data extraction for common

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Shared by AWS Machine Learning February 9, 2022

Implement MLOps using AWS pre-trained AI Services with AWS Organizations

Favorite The AWS Machine Learning Operations (MLOps) framework is an iterative and repetitive process for evolving AI models over time. Like DevOps, practitioners gain efficiencies promoting their artifacts through various environments (such as quality assurance, integration, and production) for quality control. In parallel, customers rapidly adopt multi-account strategies through AWS

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Shared by AWS Machine Learning February 8, 2022