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

Callminer

Reduce Turnover – Keeping a stable team will help you to reduce training costs and time. To implement continuous training. Most centers do front-end training and that’s pretty much it. Continuous coaching and training helps mitigate this risk. It will also help you to monitor productivity on a longer-term scale.

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Accelerate Amazon SageMaker inference with C6i Intel-based Amazon EC2 instances

AWS Machine Learning

For more information, refer to Lower Numerical Precision Deep Learning Inference and Training. Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. py scripts for testing. Refer to invoke-INT8.py py and invoke-FP32.py

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What is Call Scripting and How To Create it?

NobelBiz

Writing a call script is a must for contact centers that want to excel in their prospecting effort. If you write it according to the rules of the game, the script is an observable, cost-effective, and efficient method of attracting and maintaining prospects and clients. What exactly is call scripting? Why do scripts exist?

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20 best-practices for call center agent training

aircall

Customers expectations for service are always increasing and call center training is a crucial part of the puzzle. Improving performance management and training best practices in the call center is key to keeping your customers happy. Boosting agent productivity comes down to training and empowerment. Empower your agents.

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Quality Assurance Implementation: In With the New… AND the Old?

CSR Inc.

Calibrations Aren’t Just a Chore. This includes the tools to make the job efficient, and the time to learn the ropes via the training to make it stick. Follow up Coaching the Coach sessions (LINK TO TRAINING MODULE) are great refreshers. Calibrations Aren’t Just a Chore. They’re a Tool – and An Important One.

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Quality Time for Your Contact Center?

Monet Software

Team leaders, supervisors and others within the organization can be asked to contribute to the QM mission, and additional training and resources can help them grow their QM know-how. 3 Calibrate Quality Evaluations and Metrics. What’s more, it assembles specialists dedicated to the study and sharing of quality concepts and skills.

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Automate the machine learning model approval process with Amazon SageMaker Model Registry and Amazon SageMaker Pipelines

AWS Machine Learning

The workflow comprises a comprehensive process for model building, training, evaluation, and approval within an organization containing different AWS accounts, integrating various AWS services. We now explore this script in more detail. It outputs the results of the checks in JSON format stored in Amazon S3.