Data lakes were a breakthrough in storing massive amounts of information. They made reporting and business intelligence easier and centralized enterprise data in one place. But when it comes to machine learning, they fall short. Teams struggle to access consistent, timely features, creating friction between data engineers and ML engineers. Training and production often operate … Continue reading From Data Lakes to AI Hubs: Architecting the Intelligence Layer of the Enterprise