Exploring AI Control Tower
Explore and learn about the AI Control Tower and its role in managing the AI asset inventory, overseeing configurations, integrating with other applications, and handling the asset approval workflow.
AI Control Tower overview
AI Control Tower provides enterprises with visibility into their AI footprint, manages the lifecycle of their AI investments, and identifies risks. This AI Control Tower's functionality ensures that their AI models, workflows, and agents are governed, optimized, and aligned with business strategy. It focuses on:
- AI Strategy & Value: Tracks how AI improves efficiency, revenue, and cost savings.
- AI Governance & Compliance: Ensures that AI systems follow company policies and global regulations, focusing on privacy, data governance, and ethical AI.
- Security, Access & Privacy: Manages AI agent identities, access controls, and sensitive data to ensure security.
- Lifecycle Management: Handles the entire lifecycle of AI assets, including onboarding, offboarding, skill management, and performance monitoring.
- Health & Performance: Evaluates how reliably and efficiently AI systems operate.
- Enterprise AI Integrations: Provides a platform to discover and use AI projects, models, and data from within the company and external partners.
AI asset Data Model
The AI asset data model catalogs different AI assets such as AI systems, AI models, datasets, and prompts. It also manages the relationship between different assets that helps manage the AI inventory effectively.
AI Control Tower benefits
- Visibility and management of enterprise AI in the organization.
- Manage the lifecycle of AI assets such as AI systems, AI models, prompts, and datasets.
- Identify risks and set controls.
- Proactively manage AI risks and compliance while protecting your business and speeding up AI innovation.
What to explore next
To learn more about AI Control Tower and other applications integrating with its workspace, see the following topics: