Artificial Intelligence (AI) Internet-based PaaS Platform
An Artificial Intelligence (AI) Internet-based PaaS Platform is an AI platform that is an Internet-based PaaS platform.
- AKA: Artificial-Intelligence-based Platform as a Service (AI-PaaS).
- Context:
- It is a cloud computing service that provides developers with a framework to build, train, and deploy AI models over the internet.
- It can (often) include AI Service APIs, such as: Text AI APIs, Image AI APIs, or Speech AI APIs.
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- Example(s):
- Azure Cognitive Service is a cloud-based AI service provided by Microsoft Azure.
- Amazon Polly is an Amazon Web Services product that turns text into lifelike speech.
- Google Cloud AI offers a variety of AI services including Vision AI, Natural Language, and AutoML.
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- Counter-Example(s):
- See: Cloud Computing, Artificial Intelligence, Machine Learning as a Service (MLaaS), Software as a Service (SaaS), Platform as a Service (PaaS).
References
2024
- (GM-RKB ChatGPT Assistant, 2024) ⇒ Prompt: Summarize the concept Artificial Intelligence (AI) Internet-based PaaS Platform in 1- 2 paragraphs. GM-RKB ChatGPT Assistant (model: gpt-4-1106-preview) . Retrieved: 2024-01-28.
- QUOTE: An Artificial Intelligence (AI) Internet-based Platform as a Service (PaaS) is a cloud computing model that provides a suite of services and a development environment designed specifically for AI and machine learning projects. This type of platform streamlines the development, deployment, and scaling of AI applications without requiring developers to manage the underlying infrastructure. Customers can use the AI capabilities provided by the platform to build and integrate smart functionalities into their applications, such as natural language processing, computer vision, predictive analytics, and advanced data analysis.
Utilizing a PaaS for AI allows developers to access pre-built AI components and services that can be easily customized and incorporated into their software, helping to reduce the complexity and expertise required to create AI-powered solutions. These platforms usually offer a range of tools including data storage, data processing, model training, and model management, all accessible via the internet. Additionally, they often come with APIs that enable the interaction with AI services, as well as features for monitoring and improving model performance. This leads to a more efficient development cycle, reduced costs, and the ability to quickly adapt to new AI advancements or business requirements.
- QUOTE: An Artificial Intelligence (AI) Internet-based Platform as a Service (PaaS) is a cloud computing model that provides a suite of services and a development environment designed specifically for AI and machine learning projects. This type of platform streamlines the development, deployment, and scaling of AI applications without requiring developers to manage the underlying infrastructure. Customers can use the AI capabilities provided by the platform to build and integrate smart functionalities into their applications, such as natural language processing, computer vision, predictive analytics, and advanced data analysis.
2023
- (MS Azure, 2023) ⇒ https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/overview
- QUOTE: ... Cognitive Services brings AI within reach of every developer — without requiring machine-learning expertise. All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into your apps. ...