One AI platform, every ML tool you need

With so much data at our fingertips, many organisations are utilising machine learning to generate insightful predictions and improve their apps. But most teams have varying levels of machine learning expertise, ranging from novice all the way to experts.

To accelerate AI innovation, you need a platform that can help you build expertise for those novice users, and provide a flexible environment for those experts.

Introducing Vertex AI from Google Cloud

Vertex AI unifies Google Cloud’s existing ML offerings into a single environment for efficiently building and managing the lifecycle of ML projects. It provides tools for every step of the machine learning workflow across different model types, for varying levels of machine learning expertise.
In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository.  These models can now be deployed to the same endpoints on Vertex AI.

Explore key resources

AI Simplified video series

Learn how to use Vertex AI to manage datasets, build and train models using AutoML, or build custom models from scratch, and build Vertex Pipelines

Watch sessions from Google’s Applied ML Summit

Vertex AI Best Practice Guide

Explore conversational AI

Convert text into natural-sounding speech with AI-powered Text-to-Speech or build conversational AI with Dialogflow.

Google named a Leader in The Forrester Wave: AI Infrastructure, Q4 2021

Harness the power of machine learning with Google Cloud

In this interview, Louis van Schalkwyk fom Digicloud joins Aki Anastasiou to discuss the impact Machine Learning can have in business. He talks about the benefits it offers to businesses and provides several real-world examples of how Machine Learning is being used in South Africa. Louis also discusses Vertex AI and explains how it unifies Google Cloud’s existing Machine Learning offerings into a single environment. He unpacks how user-friendly Vertex AI is for teams without extensive Machine Learning experience and talks about how it helps users to compare their different modules.