Vertex AI: Google’s platform for implementing AI in enterprises

Google has made its machine learning platform, Vertex AI, accessible to all, allowing companies to accelerate the deployment of AI models. This platform is designed to reduce the need for large amounts of code when training models, making it easier for less experienced specialists to work with machine learning technologies.

The platform combines Google’s cloud services into a single user interface and API, allowing companies to create, train, and deploy machine learning models more easily. Vertex AI offers features such as a unified interface and API for all products, pre-trained models for working with images, videos, speech, and texts, and support for all open-source frameworks.

Vertex AI integrates with open-source frameworks like TensorFlow, PyTorch, and Scikit-learn, and includes over 15 tools for implementing machine learning technologies in existing business processes. The platform also includes tools like BigQuery ML, which allows users to access data using standard SQL queries to already used business intelligence tools and databases, and Vertex Data Labeling, which allows for data annotation for neural network training.

Previously, only a few corporations had access to the service, including ModiFace, a part of L’Oréal, and mortgage bank Mr. Cooper. ModiFace used Vertex AI to train all neural networks for its augmented reality and AI beauty industry products, while Mr. Cooper used the platform to communicate with customers through phone assistants and offer personalized mortgage offers. Now, with Vertex AI accessible to all, more companies can take advantage of its capabilities to make better decisions and gain a competitive edge.

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