ML prediction and serving: Vertex AI roadmap

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Vertex AI Prediction makes it easy to deploy models into production, both for online serving as well as batch prediction for bulk scoring. You can deploy custom models built on any framework – including TensorFlow, PyTorch, scikit-learn, XGBoost or more– to Vertex AI Prediction, with built-in tooling to track your models’ performance. In this session, learn how Vertex AI Prediction Service helps in making productionizing your models easier, and learn how real-world customers have implemented these capabilities to transform their operations.

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