Automating DataOps at Scale; How to Scale Data Preparation for ML Development
Date: Wednesday, November 3rd at 11am PDT / 2pm EDT
As teams look to productionize their ML efforts, versioning, tagging, and labeling the data becomes even more difficult. The challenge for MLOps and DataOps teams will be to operationalize their data to better meet the needs of their end-users.
Join the team at Pachyderm and Superb AI as they cover:
- What is DataOps, and how are teams looking to scale their AI/ML workflows
- The importance of data preparation (versioning and labeling)
- How teams can automate these workflows into robust pipelines
About the presenters:
Lubos Parobek, VP of Product, Pachyderm
Lubos Parobek is VP of Product & GTM. He's responsible for Pachyderm's product strategy and marketing positioning. When not working you can find him outside rock climbing, cycling or skiing.
James Le, Data Advocate, Superb AI
James Le currently runs Data Relations at Superb AI, a Series A ML data management startup. As part of his role, he executes content and partnership initiatives - while working cross-functionally with growth, product, customer success, sales, marketing, and community functions to drive Go-To-Market strategy.