ml-engineer-pro video for the marketing team at your organization has expressed the need to send biweekly scheduled emails to customers who are anticipated to
The marketing team at your organization has expressed the need to send biweekly scheduled emails to customers who are anticipated to spend above a variable threshold. This marks the marketing team's first foray into machine learning (ML), and you've been assigned the responsibility of overseeing the implementation. To address this requirement, you initiated a new Google Cloud project and leveraged Vertex AI Workbench to craft a solution that involves model training and batch inference using an XGBoost model, utilizing transactional data stored in Cloud Storage. Your goal is to establish an end-to-end pipeline that seamlessly delivers predictions to the marketing team in a secure manner while also optimizing for cost-efficiency and minimizing the need for extensive code maintenance. What steps should you take to achieve this objective?