The AI Portfolio section within the Portfolio page of the Enterprise Architecture Workspace helps you in managing structured governance, traceability, and lifecycles of AI assets.

The AI Portfolio section contains the following modules:

• AI System Digital Asset: AI system digital asset represents a software artifact that integrates one or more AI models and datasets.
• AI Model Digital Asset: AI model digital asset represents the metadata and configurations of an AI model used by an AI system to generate its output.
• AI Dataset Digital Asset: AI dataset digital asset represents the collection of data that is used to train and validate AI models.
• AI Prompt Digital Asset: AI prompt digital asset represents the structured input instruction provided to an AI model to elicit a specific response or behavior.

Through the AI Portfolio section, you can perform the following:

• Track dependencies between AI systems, models, datasets, and prompts
• Understand the usage of the AI systems, models, datasets, and prompts across business capabilities and applications