Google Unveils Vertex AI to Streamline Enterprise Machine Learning

Google launches Vertex AI, a fully managed cloud platform that unifies AI tools to help businesses build and deploy models faster. The new service requires significantly less code and aims to accelerate the return on investment for machine learning initiatives.

09 May 2021 • 1 min read

Google launches Vertex AI in general availability to help companies accelerate the deployment and maintenance of artificial intelligence models. This fully managed cloud platform requires nearly 80% fewer lines of code to train a model compared to competing platforms, addressing a major pain point for data scientists who often struggle to piece together fragmented AI solutions.

To solve the industry-wide challenges of slow model development and poor data quality, Vertex brings Google Cloud services for AI together under a single unified interface and API. Customers build, train, and deploy machine learning models in one environment, seamlessly moving models from experimentation into production to discover patterns and make predictions.

The platform provides access to the same MLOps toolkit that Google uses internally for computer vision, language, and structured data workloads. Key features include Vertex Vizier for faster experimentation, Vertex Feature Store for sharing machine learning features, and comprehensive tools designed to increase model velocity, ensure scalability, and provide necessary governance to help companies quickly find ROI with their machine learning investments.

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