Hugging Face has published a case study with Rocket Money, a financial services company. They used Hugging Face's Transformers library to deploy machine learning models in production. The company faced issues with model drift and volatility due to changing user behavior. By using techniques like model ensembling and dynamic retraining, they were able to scale their models and improve performance. --- Why it matters: This matters because it shows how companies can effectively use AI in production environments despite the challenges of model drift and volatility. Source: https://huggingface.co/blog/rocketmoney-case-study