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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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The Five-Stage Road to Customer Experience Maturity: Where is Your Organization?

NICE inContact

Disjointed policies, processes, technology and practices can all be obstacles en route to excellent customer service. Leverage predictive analytics, AI, machine learning, natural language processing and similar technologies for proactive resolutions. Join us April 2 to learn more. But how many truly achieve that objective?

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Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart

AWS Machine Learning

As one of the most prominent use cases to date, machine learning (ML) at the edge has allowed enterprises to deploy ML models closer to their end-customers to reduce latency and increase responsiveness of their applications. To learn more, visit SageMaker Roles. infer-tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2.tar.gz