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Améliorer votre service à la clientèle grâce à des démonstrations interactives

Inbenta

To learn more about Inbenta’s powerful customer service tool, join Inbenta for a webinar scheduled for 9 AM ET, Wednesday, February 14. En tant que directeur juridique, Rivera sera chargé de diriger la surveillance juridique, de la conformité et de la réglementation d'Inbenta. Gulf Coast.

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

AWS Machine Learning

Dive into Deep Learning ( D2L.ai ) is an open-source textbook that makes deep learning accessible to everyone. The following example is extracted from D2L-en book and D2L-zh book. The following screenshot shows an example of a CSV input file. On the Amazon Translate console, we can monitor the translation job progress.

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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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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. About the Authors Ying Hou, PhD , is a Machine Learning Prototyping Architect at AWS. With manual methods, a 30-minute episode can take between 1–3 hours to localize.

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Amazon Comprehend Targeted Sentiment adds synchronous support

AWS Machine Learning

Earlier this year, Amazon Comprehend , a natural language processing (NLP) service that uses machine learning (ML) to discover insights from text, launched the Targeted Sentiment feature. language-code en. To learn more about Targeted Sentiment for Amazon Comprehend, refer to Targeted sentiment. region us-east-2.

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Transfer learning for TensorFlow text classification models in Amazon SageMaker

AWS Machine Learning

Amazon SageMaker provides a suite of built-in algorithms , pre-trained models , and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning.

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