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Top 5 Customer Service & CX Articles for Week of March 11, 2024

ShepHyken

If I had to sum these up in one word, I would say these fall under the category of “friendly,” which, according to our customer service and CX research , is a top reason customers will say, “I’ll be back!” My Comment: A self-service experience falls under at least two categories. Connect with Shep on LinkedIn.

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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

AWS Machine Learning

This service is delivered by the T-Mobile Voicemail system and uses Amazon Transcribe to convert voicemail messages to text. Voicemail to Text is available in 39 different spoken languages and dialects and uses auto-language detection provided by Amazon Transcribe. T-Mobile US, Inc.

APIs 91
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Search for answers accurately using Amazon Kendra S3 Connector with VPC support

AWS Machine Learning

Using Amazon Kendra connectors enables you to synchronize data from multiple content repositories with your Amazon Kendra index. When end-users ask natural language questions, Amazon Kendra uses machine learning (ML) algorithms to understand the context and return the most relevant answers.

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Create high-quality datasets with Amazon SageMaker Ground Truth and FiftyOne

AWS Machine Learning

To create this app, they need a high-quality dataset containing clothing images, labeled with different categories. In this post, we show how to repurpose an existing dataset via data cleaning, preprocessing, and pre-labeling with a zero-shot classification model in FiftyOne , and adjusting these labels with Amazon SageMaker Ground Truth.

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Get better insight from reviews using Amazon Comprehend

AWS Machine Learning

In this post, we use Amazon Comprehend to extract meaningful information from product reviews, analyze it to understand how users of different demographics are reacting to products, and discover aggregated information on user affinity towards a product. Run your Amazon Comprehend topic modeling job. Create a notebook.

APIs 67
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning

Lastly, we connect these together with an example LLM workload to describe an approach towards architecting with defense-in-depth security across trust boundaries. We then discuss how building on a secure foundation is essential for generative AI.

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How service providers can use natural language processing to gain insights from customer tickets with Amazon Comprehend

AWS Machine Learning

When a support ticket is raised by a customer, it is processed and assigned to a category based on the information provided in the ticket. It is then routed to the support group for resolution according to the category of the ticket. This automation results in increased operational efficiency and reduced cost. Solution overview.