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May 18, 2022 - May 19, 2022
Get ready for a fun and engaging two days of curated sessions, workshops, and networking opportunities around the practical data engineering challenges for operational ML.
Participants will share best practice development patterns, tools of choice, and emerging architectures they use to successfully build and manage production ML applications. Everything is on the table from managing labeling pipelines, to transforming features in real-time, and serving at scale.
