Machine Learning Systems: A Survey from a Data-Oriented Perspective
The episode discusses the paper "Machine Learning Systems: A Survey from a Data-Oriented Perspective." Hosts explore shifting from traditional service models to data-centric designs using patterns like dataflow and publish/subscribe. They conclude that while ML systems are common, fully adopting this decentralized, data-oriented approach remains rare in practice.