Exploring the Role of MLOps in Machine Learning Development and Deployment

Today we’re joined by Vidyut Naware, the director of machine learning and artificial intelligence at Paypal. As the leader of the ML/AI organization at Paypal, Vidyut is responsible for all things applied, from R&D to MLOps infrastructure. In our conversation, we explore the work being done in four major categories, hardware/compute, data, applied responsible AI, and tools, frameworks, and platforms. We also discuss their use of federated learning and delayed supervision models for use cases like anomaly detection and fraud prevention, research into quantum computing and causal inference, as well as applied use cases like graph machine learning and collusion detection. 

The complete show notes for this episode can be found at twimlai.com/go/593