Difference between revisions of "AI Platform"

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“The AI Platform is the place where if you’re taking this terrifying journey from a germ of an idea of how you can use AI in your enterprise 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,” Google Cloud chief AI scientist Andrew Moore told reporters ahead of the news. “So you can start with exploratory 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 is the place where if you’re taking this terrifying journey from a germ of an idea of how you can use AI in your enterprise 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,” Google Cloud chief AI scientist Andrew Moore told reporters ahead of the news. “So you can start with exploratory 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.”
  
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Revision as of 21:44, 11 April 2019

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“The AI Platform is the place where if you’re taking this terrifying journey from a germ of an idea of how you can use AI in your enterprise 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,” Google Cloud chief AI scientist Andrew Moore told reporters ahead of the news. “So you can start with exploratory 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.”