Google Vertex AI unifies cloud machine learning toolkit
Google Cloud’s Vertex AI, made generally available on May 18, provides a managed machine learning platform for the deployment and maintenance of artificial intelligence models. Google says the Vertex AI platform requires fewer lines of code to train a model than other systems.Vertex AI unites all Google Cloud services for building machine learning models under a unified UI and API, simplifying the process of building and deploying machine learning models at scale, Google said. Specifically, AutoML and AI Platform are tied together into a unified API, client library, and UI.[ Read the InfoWorld reviews: Google Cloud AI and Machine Learning | Microsoft Azure AI and Machine Learning | AWS AI and Machine Learning ] 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:To read this article in full, please click here
Google Cloud’s Vertex AI, made generally available on May 18, provides a managed machine learning platform for the deployment and maintenance of artificial intelligence models. Google says the Vertex AI platform requires fewer lines of code to train a model than other systems.
Vertex AI unites all Google Cloud services for building machine learning models under a unified UI and API, simplifying the process of building and deploying machine learning models at scale, Google said. Specifically, AutoML and AI Platform are tied together into a unified API, client library, and UI.
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:
