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

AWS Machine Learning

We now carry out feature engineering steps and then fit the model. The model training consists of two components: a feature engineering step that processes numerical, categorical, and text features, and a model fitting step that fits the transformed features into a Scikit-learn random forest classifier. BERT + Random Forest.

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

Callminer

Metrics, Measure, and Monitor – Make sure your metrics and associated goals are clear and concise while aligning with efficiency and effectiveness. Make each metric public and ensure everyone knows why that metric is measured. Jeff Greenfield is the co-founder and chief operating officer of C3 Metrics.