Google launches AI Platform

Google AI Platform

The new Google AI Platform is providing AI creaters a new, shared, end-to-end environment for teams to test, train and deploy AI Models.

Google today upgraded its service AutoML to create custom AI models in the next cloud conference this week in San Francisco.

The AI ​​platform launched in beta is designed to be used by developers, data scientists and data engineers.


Google Cloud Chief Andrew Moore told reporters that “The AI Platform is the place where if you’re taking this terrifying journey from a thought of an idea of how you can use AI in your business all the way through launch of a safe, reliable deployment, the AI Platform helps you move between each of those stages in a safe way". “So you can start with data analysis, start to build models using a data scientist, decide you want to use a specific model, and then essentially with one click be able to deploy it in our Google Cloud or in other clouds, or on-premises running on top of Kubernetes.”

The AI ​​platform will work in the cloud console and is capable of handling both streaming and batch data. Google's Data Warehouse BigQuery can be used to import data, and AI platform users can train models using AutoML or the cloud machine learning engine.


AI Platform Dashboard
AI Platform Dashboard

The newly created AI platform can handle custom models and premade models, as found in the marketplace of AI Hub for useful and popular AI systems. The Kubeflow pipeline for automated workflows with the Kubernet container, which started with the AI ​​Hub last year, can also be used with the AI ​​platform.

To help people who aren’t data scientists deploy AI, Google has introduced new video and table categories for AutoML, its technology for automating the creation of automated systems.

Premade models are still available in general, including contact center AI, which was launched in beta last year.

So far, a series of major Cloud and AI news has been launched in the Cloud Next, which includes Cloud Run for Computing without Portable Server, the ability to use your Android phone as a security key, and the introduction of Anthos, a hybrid Cloud Management Service chat which includes Amazon's AWS and Microsoft's Azure.

Policy Intelligence was also announced today, an AI-powered recommendations feature that helps system administrators by recommending actions related to cloud governance best practices. So that's all about Google AI platforms. 

For more updates on Artificial Intelligence, Stay tuned with us on LunaticAI.

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