For ML/AI projects, you can use the data in BigQuery to train models in Vertex AI. Your media, image, and other static file datasets from Cloud Storage can be directly imported into Vertex AI. You can create your own custom model or use the pretrained models. It’s a good idea to start with a pretrained model and see if it works for you. Most common use cases are covered (including image, text, video, and tabular data). If a pretrained model does not work for your use case, then use the AutoML model in Vertex AI to train a custom model on your own dataset. AutoML supports all the common use cases and requires no code. If you have lots of ML and data science expertise in house, you may decide to write your own custom model code in the framework of your choice.