MLOps Weekly Podcast MLOps Week 2: Uber's Feature Store and Data Quality with Atindriyo Sanyal, Co-founder of Galileo
Jun 14, 2022
Atindriyo Sanyal, Co-founder of Galileo, discusses Uber's feature store and data quality in MLOps. Topics include automation in ML model lifecycle, ideal MLOps workflow, experimentation significance, decentralized vs centralized ML infrastructure comparison, evolution of feature stores, and contrasting data quality tools approaches.
Chapters
Transcript
Episode notes
1 2 3 4 5 6
Introduction
00:00 • 3min
Exploring the Ideal MLOps Workflow
02:46 • 2min
Exploring the Role of Experimentation in MLOps
04:34 • 2min
Decentralized vs Centralized ML Infrastructure
06:18 • 5min
Evolution of Feature Stores in Machine Learning Operations
11:39 • 21min
Contrasting Traditional Data Quality Tools and ML Data Quality Approach
33:06 • 3min