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L'IA pour l'entreprise : Les secrets pour améliorer l'expérience client tout en maintenant la conformité

Inbenta

Webinaires L'IA pour l'entreprise : Les secrets pour améliorer l'expérience client tout en maintenant la conformité Lisez la suite » Webinaires Quel sera l’impact de l’IA générative sur les interactions avec les clients ?

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L'IA pour l'entreprise : Les secrets pour améliorer l'expérience client tout en maintenant la conformité

Inbenta

Webinaires L'IA pour l'entreprise : Les secrets pour améliorer l'expérience client tout en maintenant la conformité Lisez la suite » Webinaires Quel sera l’impact de l’IA générative sur les interactions avec les clients ?

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Amazon Translate enhances its custom terminology to improve translation accuracy and fluency

AWS Machine Learning

To use the custom terminology feature, you should create a terminology file (CSV or TMX file format) and specify the custom terminology as a parameter in an Amazon Translate real-time translation or asynchronous batch processing request. In this case, the target word is changed to inflect plural.

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Read webpages and highlight content using Amazon Polly

AWS Machine Learning

In this post, we demonstrate how to use Amazon Polly —a leading cloud service that converts text into lifelike speech—to read the content of a webpage and highlight the content as it’s being read. We accelerate that journey by demonstrating how to achieve this goal using Amazon Polly. PRTP uses neural voices.

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Guest Post: Good Customer Service – How to Get It

ShepHyken

You’re looking at someone and thinking, ‘I don’t think this is about the cheese.’” “The customer uses words like ‘you’ to describe the issue they’re having with the organization, but the rep is not the person—most of the time—who caused the problem. In many cases, as customers, we don’t do a particularly good store job of telling our story.

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Intelligent document processing with AWS AI and Analytics services in the insurance industry: Part 2

AWS Machine Learning

In Part 1 of this series, we discussed intelligent document processing (IDP), and how IDP can accelerate claims processing use cases in the insurance industry. We discussed how we can use AWS AI services to accurately categorize claims documents along with supporting documents. Part 1: Classification and extraction of documents.

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Streamline diarization using AI as an assistive technology: ZOO Digital’s story

AWS Machine Learning

In this post, we discuss deploying scalable machine learning (ML) models for diarizing media content using Amazon SageMaker , with a focus on the WhisperX model. For instructions on configuring this trigger, refer to the tutorial Using an Amazon S3 trigger to invoke a Lambda function.