AI lifecycle management is a systematic process for handling the entire lifecycle of an AI system (AI: Artificial Intelligence). This lifecycle covers all phases from planning and development through to the implementation, monitoring and improvement of AI models.
Key elements include data acquisition and preparation, the development, training and validation of models and the continuous monitoring of model performance after implementation.