The timing may not be a coincidence. Here's what the company's FY2026 results reveal about the future of unified, AI-native CX at enterprise scale.
Abstract: Predicting churn age among customers is one of the most important challenges when working with a digital service platform; however, the majority of existing methods utilize mostly behavioral ...
Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the hiring process.Designing end-to-end ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
Abstract: This study proposes an innovative pipeline for customer churn prediction in the telecommunications sector, integrating resampling, ensemble learning, and interpretability with fairness ...
Dataset: The model is trained on the Telco Customer Churn dataset from Kaggle, containing 7043 rows of customer data with 21 features including tenure, contract type, and monthly charges.
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