Remove tag customer-service-pattern
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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

Amazon Transcribe is an AWS service that allows customers to convert speech to text in either batch or streaming mode. Amazon Transcribe can be used for transcription of customer care calls, multiparty conference calls, and voicemail messages, as well as subtitle generation for recorded and live videos, to name just a few examples.

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

AWS Machine Learning

A retail company is building a mobile app to help customers buy clothes. Solution overview Ground Truth is a fully self-served and managed data labeling service that empowers data scientists, machine learning (ML) engineers, and researchers to build high-quality datasets. You want to make things as easy as possible for the end-user.

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The Growing Role of Artificial Intelligence in the Customer Experience Industry

COPC

Artificial intelligence (AI) is rapidly transforming the customer experience (CX) industry, offering businesses new opportunities to enhance their operations. This blog article discusses the importance of employing multiple types of AI, implementing effective controls and guardrails, and adapting specific roles within the CX organization.

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Simple Yet Smart Tips to Reduce Customer Support Response Time

Wowdesk Blog

Your customers are the focal point of your business – it is important to keep them satisfied with your products/services. However, according to a customer service study, 62% of companies do not pay heed to customer emails which eventually turns opposite for them. . Why will a customer stick around then?

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Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 3

AWS Machine Learning

We show you how to use AWS IoT Greengrass to manage model inference at the edge and how to automate the process using AWS Step Functions and other AWS services. The sample use case used for this series is a visual quality inspection solution that can detect defects on metal tags, which you can deploy as part of a manufacturing process.

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Intelligently search Drupal content using Amazon Kendra

AWS Machine Learning

Amazon Kendra is an intelligent search service powered by machine learning (ML). One of the key requirements for many customers using Drupal is the ability to easily and securely find accurate information across all the documents in the data source. Optionally, enter the include/exclude patterns for the entity titles.

APIs 99
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Announcing the updated Microsoft SharePoint connector (V2.0) for Amazon Kendra

AWS Machine Learning

Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Configure optional encryption settings and tags. Enter optional tags. You can define patterns that Amazon Kendra either uses to exclude certain documents from indexing or include only documents with that pattern.