Is this the right deployment strategy?

By now, you have become familiar with the several types of prediction service deployments: batch, stream, real-time, and edge. You know also that there are different strategies to follow depending on your system's context. For this exercise you will imagine a colleague at work comes to ask you for help. He is building an automated MLOps system that will:

• Run predictions in batch
• Run the prediction every day at midnight
• Be a part of a non-critical system
• The predictions will not be delivered back to any user nor system
• The performance of the predictions will be evaluated

Your colleague suggests that a blue/green deployment strategy is the way to go. What can you suggest to your colleague?