AI-powered data intelligence across governance, quality, lineage, cataloging and data products
Overview
Can people and AI understand, trust, and use governed data responsibly?
Enterprise data is often spread across systems and teams, making it difficult to find, understand , trust and use. IBM watsonx.data intelligence provides one integrated solution where data teams and AI agents can find trustworthy data and data governance teams can ensure adherence to policies and regulations.
Features
Integrated data intelligence for governed, AI-ready data
- Data governance and catalog
- Data quality
- Data lineage
- Data sharing
Always-on governance for how people and AI use enterprise data
Build an AI-powered enterprise data catalog that connects technical metadata with business definitions, ownership, policies, quality and lineage. Automatically discover, classify and enrich structured and unstructured data, apply access and compliance rules, and trace data from its source to the model, AI agent or system that uses it, including the policies applied. New Agentic Data Intelligence capabilities in IBM watsonx.data intelligence use natural language, Model Context Protocol (MCP) and reusable Agent Skills to help people and AI agents find, understand and act on governed data.
Make AI and analytics more effective with clean, reliable data.
Detect anomalies, broken rules, duplicates and unreliable data across hybrid environments. Connect each issue to business context and lineage, assess downstream impact and act before unreliable data affects reports, analytics or AI outcomes. Prioritize remediation using downstream impact, service-level requirements and risk so teams fix the issues that matter most.
Give AI full context of data relationships
Automatically map how data moves and changes from its source to reports, models and AI agents. Track where data comes from, how it changes over time and what may be affected by a change to investigate issues and explain outcomes. Extend lineage across hybrid and multicloud environments with 50+ integrations, OpenLineage, custom mappings and open APIs.
Deliver trusted data products across the enterprise
Package data with business meaning, quality, lineage, ownership and contracts so teams, applications and AI agents can discover and query reusable data sets with confidence.
IBM watsonx.data intelligence governs data products; IBM watsonx.data provides zero-copy data sharing.
See data intelligence in action
Use cases
Put enterprise data intelligence to work
Give agents access to cataloged assets, business definitions, ownership, quality, lineage and policies through MCP so they can interpret enterprise data and act within approved boundaries.
Connect policies to data assets, trace transformations and retain evidence of ownership, access and use to simplify regulatory reporting, investigations and audits.
Monitor quality continuously and connect each issue to its business meaning, lineage and downstream impact, helping teams prioritize remediation across analytics, data products and AI.
Case studies
Real clients, real results
50% fewer data and AI tools
Lockheed Martin used an integrated IBM data and AI platform—including IBM watsonx.data intelligence—to replace 46 systems and tools, reduce tool count by 50% and automate 216 catalog definitions, creating a connected foundation for enterprise AI.
Resources
Getting started
IBM named a Leader in the 2026 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions
IBM named a Leader in the 2025 Gartner® Magic Quadrant™ for Data and Analytics Governance Platforms
IBM named a Leader in the 2025 Gartner® Magic Quadrant™ for Metadata Management Solutions
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