Scale multimodal AI: Serverless data-parallel ML with Dataflow

Unstructured data is the fuel for modern multimodal AI, yet transforming massive volumes of images, audio, and video for inference presents a tremendous engineering challenge. In this session, we’ll demonstrate how Dataflow addresses this by offering a unified, serverless platform that democratizes data-parallel machine learning (ML) for high-performance feature engineering and inference. Learn how to use Dataflow to connect Cloud Storage and BigQuery, process millions of raw images, and power scalable embedding generation and vector search.

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Видео Scale multimodal AI: Serverless data-parallel ML with Dataflow канала Google Cloud Events