LinkedIn's AI/ML platform leverages Venice DB for feature persistence and productivity, supporting feature ingestion, generation, storage, model training, and inference.
Félix GV highlighted the importance of Venice DB in powering AI/ML features at LinkedIn, with support for dataset versioning and online storage for AI/ML use cases.
LinkedIn open-sourced Frame's functionality as the Feathr project, offering features like a virtual store supporting Iceberg tables, Kafka topics, and Venice stores.
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