Cloud AI


Cloud AI refers to the use of artificial intelligence (AI) technologies and services in the cloud. In other words, it refers to the deployment and use of AI algorithms, models, and tools on cloud computing platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud.

Cloud AI can be used in a variety of ways, depending on the specific AI technologies and services that are being used. Some common examples of how cloud AI is used include:

  • Machine learning as a service: Many cloud providers offer machine learning platforms and services that allow users to train, deploy, and manage machine learning models in the cloud. These services can be used for a wide range of tasks, such as image recognition, natural language processing, and predictive analytics.
  • AI-powered services and applications: Cloud AI can be used to build and deploy AI-powered services and applications, such as virtual assistants, recommendation engines, and automated customer support. These services can be accessed and used by other applications and users over the internet.
  • AI infrastructure and tools: Cloud AI can also provide access to a wide range of AI infrastructure and tools, such as data storage, processing, and analytics, as well as development and deployment tools for building AI models and applications.

Overall, cloud AI allows organizations and developers to leverage the power of AI without the need to invest in expensive hardware and infrastructure. It also enables the use of AI at scale, by providing access to a wide range of AI technologies and services on demand.



See also:

100 Best Cloud Database Videos100 Best Cloud GPU Videos100 Best Cloud Rendering Videos | 100 Best Deep Learning Cloud Videos | 100 Best Google Cloud Platform Videos | Cloud Gaming Meta GuideCloud IDE (Integrated Development Environment)Cloud Middleware | Cloud Robotics 2018

[Dec 2019]