Does MLOps Live Upto The Hype?

Machine Learning (ML) model metrics are designed to monitor performance. But when a model goes into production, many factors influence its performance. The traditional checkpoints may no longer help as organisations look to scale these models (think: scaling from a million to billion credit card users). This is why experts advocate for MLOps, a branch of ML that brings together all the nice things from DevOps and ML. Though a few experts hold MLOps as the best solution available right now, it's still beset by ambiguities.