Collibra Enterprise AI Control Plane

Description

Collibra serves as the Enterprise AI Control Plane, a pivotal layer of context and control that integrates seamlessly above every data platform, model, and agent. With over eighteen years of ontology engineering, Collibra transforms scattered data into governed context, offering certified knowledge about an organization. This allows teams to certify and govern context, serve it to AI models and agents, and manage what these systems do across any data, model, or agent without moving data or locking into a single platform.

Ontology in Collibra acts as a digital twin of organizational knowledge, forming a formal knowledge graph of business concepts, terms, and relationships. This enables AI agents and data consumers to act on data with confidence, as ontologies power intelligent discovery, lineage, and AI-ready governance across the enterprise.

Context governance in Collibra ensures that enterprise context is trustworthy enough for AI agents to rely on for every decision. This is achieved through governed, curated, certified, and semantically enriched data products that carry their context with them. AI governance frameworks and processes ensure that AI agents and systems operate within defined boundaries, are grounded in trusted context, and can be traced and audited.

Collibra's platform also includes Deasy Labs, which transforms unstructured data into curated datasets for AI projects. This includes automatic tagging, metadata enrichment, and sensitive data detection, ensuring that AI retrieves relevant knowledge efficiently.

Collibra is recognized as a leader in data governance, with accolades from Forrester and Gartner. It supports global organizations by providing a unified approach to data and AI governance, ensuring transparency, compliance, and operational efficiency across the data landscape.

Collibra Enterprise AI Control Plane's Core Features

• Ontology engineering for data governance

• AI-ready governance across the enterprise

• Context governance for trustworthy AI decisions

• End-to-end AI lifecycle management

• Automatic tagging and metadata enrichment

• Sensitive data detection and filtering

• Unified data and AI governance platform

• Recognition as a leader in data governance

How to use Collibra Enterprise AI Control Plane?

1. 1

   Explore: Take a self-guided tour of Collibra

2. 2

   Configure: Set up ontology and context governance

3. 3

   Use: Implement AI governance frameworks

4. 4

   Optimize: Enhance data transparency and compliance

Collibra Enterprise AI Control Plane's Use Cases

• Data Governance
• AI Lifecycle Management
• Unstructured Data Transformation
• Ontology Engineering
• Context Governance

FAQ from Collibra Enterprise AI Control Plane

• What is Collibra's primary function?

  Collibra acts as the Enterprise AI Control Plane, providing context and control across data, models, and agents.

• How does Collibra ensure AI governance?

  Collibra uses frameworks and processes to ensure AI systems operate within defined boundaries and are grounded in trusted context.

• What is ontology in Collibra?

  Ontology is a formal knowledge graph of business concepts and relationships, enabling AI agents to act on data with confidence.

• How does Collibra handle unstructured data?

  Collibra's Deasy Labs transforms unstructured data into curated datasets, with automatic tagging and metadata enrichment.

• What recognition has Collibra received?

  Collibra is recognized as a leader in data governance by Forrester and Gartner.

• What industries benefit from Collibra?

  Collibra is beneficial for industries requiring data governance and AI integration, such as finance, healthcare, and technology.

• How does Collibra support AI lifecycle management?

  Collibra manages AI agents, use cases, and models across their full lifecycle with end-to-end governance.

• What is context governance?

  Context governance ensures enterprise context is trustworthy for AI agents, operationalized through curated data products.