Alphabet CEO Sundar Pichai has introduced Vertex AI, a managed machine learning platform for deploying and maintaining AI models, during his keynote speech at the recently concluded Google I/O conference. The new platform brings AutoML and AI Platform together into a unified API, client library and user interface. "When we were training algorithms before, we would have to run millions of test images," said Jeff Houghton, chief operating officer of L'Oréal's ModiFace, which develops augmented reality and AI digital services for the beauty industry. "Now, we can rely on the Vertex technology stack to do the heavy lifting. Vertex has the computing power to figure out complex problems. It can do billions of iterations, and Vertex comes up with the best algorithms," Houghton added.

Use BigQuery to process tabular data. Use Dataflow to process unstructured data. Use managed datasets to link data to your models. The recommended approach for processing your data depends on the framework and data types you're using. This section provides high-level recommendations for common scenarios. For general recommendations on data engineering and feature engineering for ML, see Data preprocessing for machine learning: options and recommendations and Data preprocessing for machine learning using TensorFlow Transform. If you're using TensorFlow for model development, use TensorFlow Extended to prepare your data for training. TensorFlow Transform is the TensorFlow component that enables defining and executing a preprocessing function to transform your data.