You have effectively deployed a substantial and intricate TensorFlow model that was trained on tabular data. Your objective is to predict the lifetime value (LTV) field for each subscription, which is stored in the BigQuery table named "subscription.subscriptionPurchase" within the "my-fortune500-company-project" project. To ensure that prediction drift is prevented, which refers to significant changes in feature data distribution in production over time, what steps should you take?