While there are many ways to cut corners and quickly deploy a model, creating a robust production application requires consideration of ML-specific requirements such as version control for both models and data, monitoring models for statistical degradation (like data drift), and ensuring traceability of predictions. For more details, check out our Ultimate Guide to Deploying ML Models.