Accelerating Computation, Machine Learning, and Data Mesh with Sophie Watson

This episode features an interview with Sophie Watson, Technical Product Marketing Manager at NVIDIA. Previously, Sophie served as a software engineer and principal data scientist at RedHat where she used machine learning to solve business problems in the hybrid cloud. Sophie has a PhD in Bayesian statistics and frequently speaks about machine learning workflows on Kubernetes, recommendation engines, and machine learning for search. In this episode, Sam and Sophie discuss Principal Component Analysis, computational acceleration, and MLOps.