Deploy
2024 | AI Dictionary
What is Deployment: The process of making an AI system available for use in a real-world application or production environment.
What is Deploy?
Deploy refers to the process of releasing and integrating a software application, model , or system into a live environment where it can be accessed and used by end users. In the context of AI and machine learning, deployment involves taking a trained model or application and making it available for real-time use, either through an API, web interface, or embedded system.
Types of Deployment
- On-premise: Software or models are deployed on physical servers within an organization’s infrastructure.
- Cloud-based: Software or models are deployed to a cloud provider, offering scalability and remote access.
- Edge Deployment: Models or applications are deployed on edge devices, like smartphones or IoT devices, for faster decision-making closer to the data source.
Applications of Deploy
- Machine Learning Models: AI models deployed to production environments for real-time predictions or data analysis.
- Web Applications: AI-powered applications deployed on servers to be accessed by users through web browsers.
- IoT Systems: AI systems deployed on edge devices for real-time data processing and decision-making without relying on cloud services.
Example of Deploy
An AI-powered recommendation engine deployed to an e-commerce website to suggest products to customers in real-time based on their browsing history and preferences.
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