Users can manage data and prototype, deploy, and interpret models without needing formal machine learning training, the company said. Specific capabilities of Vertex AI include:
Accessing the Google AI toolkit powering Google internally, including pre-trained APIs for computer vision, video, natural language, and structured data.
Faster deployment of AI applications via MLOps features such as Vertex Vizier, to increase the rate of experimentation; Vertex Feature Store, to serve, share, and reuse machine learning features; and Vertex Experiments, to accelerate deployment of models.
Tools such as Vertex Continuous Monitoring and Vertex Pipelines streamline machine learning workflow. These tools are intended to remove the complexity of self-service model maintenance and repeatability.