Description
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 us we 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
Local ODSC chapter in NYC, USA
Use ODSCCommunity2022 code to get an additional discount on your ODSC East pass - https://hubs.li/H0_t0tT0
Instructor's Bio
Lubos Parobek
VP of Product at Pachyderm
He's responsible for Pachyderm's product strategy and marketing positioning. When not working you can find him outside rock climbing, cycling or skiing.
Webinar
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ON-DEMAND WEBINAR: Scaling Data Preparation for Your Data-Centric AI Development
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