At today's Google Cloud Applied ML Summit, the search and enterprise IT giant revealed a new group of product features and technology partnerships designed to help users create, deploy, manage and maintain machine learning (ML) models in production faster and more efficiently. The company's AI development environment, Vertex AI, launched a year ago at the Google I/O 21 conference, is the home base for all of the updates. This is a managed ML platform designed to enable developers to speed up the deployment and maintenance of their AI models. A central new addition to Vertex AI is its Prediction Service. In the graph data space, Google introduced a data partnership with Neo4j that connects graph-based machine learning models.

Introduced last year, Vertex AI is a collection of cloud services for creating AI models. Some of the services in the platform are geared toward tech-savvy companies that build fully custom neural networks from scratch. Other Vertex AI components are designed to help developers with limited machine learning expertise create AI software more easily.