Explore how Quby leverages machine learning and MLflow with their lakehouse in this Data Brew episode. Learn about Quby's journey from batch to real-time streaming processes for IoT sensor data collection and machine learning. Discover how they extract additional value from their data lake, manage ML models, and implement features like less intrusive monitoring and customer sentiment analysis. Gain insights into the tools, frameworks, and technologies used, including Delta Lake and Spark for distributed training. Understand the implications of dealing with IoT data and how Quby's approach helps them achieve their goal of "outsmarting energy" to make the world more comfortable and sustainable.