Google’s Vertex AI Tabular Workflows
The new Vertex AI Tabular Workflows tool includes a glassbox and managed AutoML pipeline that lets users see and interpret each step in the AI model building and deployment process.
Google Cloud’s Vertex AI is a collection of cloud services for creating AI models. The new Vertex AI Tabular Workflows lets customers train datasets of over a terabyte, without sacrificing accuracy, by picking and choosing which parts of the process users want AutoML to handle versus which parts users want to engineer themselves.
The new tool can be used to build neural networks that process tabular data, or data organized into rows and columns. Google said a sizable portion of companies’ business information is stored in rows and columns.
Certain elements of Tabular Workflows can also be integrated into a customers’ existing Vertex AI pipelines. Google has added new managed algorithms including advanced research models like TabNet, new algorithms for feature selection and model distillation.
