Lifecycle of an AI System

Lifecycle of an AI System - The Lifecycle of an AI System encompasses the series of phases involved in the development, deployment, and maintenance of an AI system. These phases include planning and design, data collection and processing, model building, testing, evaluation, verification, validation, deployment, and operation and monitoring, often occurring iteratively, rather than sequentially.

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Lifecycle of an AI System
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Alternative Labels
AI Development Cycle, AI System Lifecycle, Automated System Development Cycle, Intelligent System Lifecycle
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Definition and Examples

Definition
The Lifecycle of an AI System encompasses the series of phases involved in the development, deployment, and maintenance of an AI system. These phases include planning and design, data collection and processing, model building, testing, evaluation, verification, validation, deployment, and operation and monitoring, often occurring iteratively, rather than sequentially.
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