Let's peek under the hood of an AI churn prediction platform: Define the problem: Identify the desired target, whether it's predicting the churn of all customers or specific segments. Data collection and preprocessing: Gather relevant customer data from various sources and cleanse it for accurate analysis. Exploratory Data Analysis (EDA): Understand the data through visualizations and statistical tests to identify patterns and relationships. Model selection and training: Choose the...