Explore a 26-minute webinar on scaling data preparation for data-centric AI development. Learn about DataOps, the importance of data versioning and labeling, and how to automate workflows into robust pipelines. Discover the ML maturity journey, machine learning lifecycle, and strategies for addressing challenges in productionizing ML efforts. Gain insights into DataOps pipelines for machine learning, including the benefits of Pachyderm for DataOps and enterprise solutions. Understand containerized end-to-end pipelines and data lineage concepts to enhance your AI/ML workflows and meet end-user needs more effectively.
Scaling Data Preparation for Your Data-Centric AI Development
Overview
Syllabus
Intro
The ML Maturity Journey
The Machine Learning Lifecycle
How Do You Address These Challenges While
DataOps Pipelines for Machine Learning
Pachyderm for DataOps
Pachyderm DataOps Benefits
Pachyderm Enterprise
Containerized End-to-End Pipelines
Data Lineage
Taught by
Open Data Science
