Remove Calibration Remove Examples Remove Scripts
article thumbnail

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

Callminer

Example: Campaign A has a high call volume but campaign B has less calls and the agents that are assigned campaign B are not busy. 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). Bill Dettering.

article thumbnail

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

AWS Machine Learning

In the following example figure, we show INT8 inference performance in C6i for a BERT-base model. Use the supplied Python scripts for quantization. Run the provided Python test scripts to invoke the SageMaker endpoint for both INT8 and FP32 versions. The code snippets are derived from a SageMaker example.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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?

Scripts 52
article thumbnail

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

AWS Machine Learning

In our example, the organization is willing to approve a model for deployment if it passes their checks for model quality, bias, and feature importance prior to deployment. For this example, we provide a centralized model. You can create and run the pipeline by following the example provided in the following GitHub repository.

article thumbnail

Quality Time for Your Contact Center?

Monet Software

It can be difficult, for example, to flag the top-selling agent for compliance shortcomings if the supervisor fears a fall-off in sales. 3 Calibrate Quality Evaluations and Metrics. . #2 Clarify QM “Ownership”. A QM team whose sole mission is to address quality can intervene to promote QM improvements more proactively and effectively.

article thumbnail

Auto-labeling module for deep learning-based Advanced Driver Assistance Systems on AWS

AWS Machine Learning

For example, the following figure shows a 3D bounding box around a car in the Point Cloud view for LiDAR data, aligned orthogonal LiDAR views on the side, and seven different camera streams with projected labels of the bounding box. Ground Truth’s automated data labeling functionality is an example of active learning.

article thumbnail

Churn prediction using multimodality of text and tabular features with Amazon SageMaker Jumpstart

AWS Machine Learning

You can even replace the example dataset with your own and run it end to end to solve your own use cases. On the Studio console, choose Solutions, models, example notebooks under Quick start solutions in the navigation pane. The number of examples for training and validation data are 43,000 and 5,000, respectively.