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Contact Center Trends 2021: The CX Watershed

Fonolo

In 2017, more contact centers will recognize the impact of tracking analytics and use those benchmarks for future growth. A properly scripted menu leads customers to the answers they need, provides them with the opportunity to navigate to a live agent, and decreases the overall call volume that reaches the call center. Social Media ?

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25 Call Center Leaders Share the Most Effective Ways to Boost Contact Center Efficiency

Callminer

Source: Human Resource Management; Issue: 51(4); 2012; Pages 535-548. Bill Dettering is the CEO and Founder of Zingtree , a SaaS solution for building interactive decision trees and agent scripts for contact centers (and many other industries). Interactive agent scripts from Zingtree solve this problem. Bill Dettering.

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Use the Amazon SageMaker and Salesforce Data Cloud integration to power your Salesforce apps with AI/ML

AWS Machine Learning

Enter the following script in the editor, providing the ARN for the secret you created earlier: #!/bin/bash If you would like, you can take a look at the CodePipeline deploy step, which uses AWS CloudFormation scripts to create SageMaker endpoint and API Gateway with a custom JWT authorizer. Choose Create configuration.

APIs 76
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Build an image search engine with Amazon Kendra and Amazon Rekognition

AWS Machine Learning

A Python script is used to aid in the process of uploading the datasets and generating the manifest file. For details on the Python script and how to run it, refer to the GitHub repo. Upon successfully generating the manifest file, it’s then uploaded into Amazon Rekognition to begin the model training process. join(", "), }; }).catch((error)

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Use a custom image to bring your own development environment to RStudio on Amazon SageMaker

AWS Machine Learning

You can quickly launch the familiar RStudio integrated development environment (IDE), and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. You can use the sample script create-and-update-image.sh. Choose Delete.

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Is the Contact Center a Good Career? Tenured Agents Say Yes

Balto

When I worked in service roles, I had a script, and I knew what I had to do to have a successful social interaction with a customer. This helped me build confidence through a body of evidence — you use your script correctly as a waitress and you get a dopamine hit in the form of a tip. 2012, December 20). 2022, June 23).

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Bring legacy machine learning code into Amazon SageMaker using AWS Step Functions

AWS Machine Learning

SageMaker runs the legacy script inside a processing container. SageMaker takes your script, copies your data from Amazon Simple Storage Service (Amazon S3), and then pulls a processing container. The SageMaker Processing job sets up your processing image using a Docker container entrypoint script.

Scripts 120