ML system's resilience and effectiveness lies in its ability to adapt and evolve. Models, unlike traditional software, degrade over time due to shifts in data distributions, changes in user behaviour, and the emergence of new patterns. Therefore, a robust strategy for updating models in production is not just good practice—it's essential for sustained performance and business value.