Announcing apply()’s Speaker Lineup

The ML Data Engineering conference `apply()` will be held on April 21 and 22, bringing together industry thought leaders and practitioners from over 30 organizations to share and discuss the current and future state of ML data engineering. The complexity of ML data engineering is a significant barrier between most data teams and transforming their applications with operational ML. The conference aims to address this by sharing findings and best practices on topics such as online serving, data observability, feature stores, model performance management, and MLOps best-practices. Speakers from various industries and backgrounds will share their experiences and perspectives on ML data engineering, including innovators like Wes McKinney and Chip Huyen from companies like Confluent and Stanford. The event is entirely virtual, making it easier to bring together participants from across the country and the globe.

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