Turn fragmented data into trusted, governed business context for people and AI.
Unlock more value from AI with trusted data context
IBM watsonx.data intelligence adds business context to fragmented enterprise data, making it more usable, trustworthy, and valuable for both AI and people. By connecting metadata, definitions, lineage, quality, and governance, it helps organizations understand, trust, control, and scale data to support confident decisions and AI outcomes.
Scale context - for your business
Define and enforce policies, access rules, and compliance at runtime. Ensure AI systems and human users consume data according to business rules, regulatory requirements, and organizational standards. Capture end-to-end AI lineage so you can trace which data reached which model, under which policy, at the moment of use. Automatically label and contextualize vast amounts of metadata from structured and unstructured sources in an easily searchable catalog.
Agentic Data Intelligence extends this governed catalog context to users and AI agents through conversational experiences, enabling them to discover, understand, and act on enterprise data with confidence.
Continuously monitor and improve data accuracy, consistency, and completeness so AI models and business decisions operate on reliable, high-quality data. Automate data profiling, cleansing, and validation to surface issues before they reach AI.
Through Agentic Data Intelligence, users and AI tools can access data quality insights through natural language and take action faster.
Track how data moves and transforms across systems, enabling AI and humans to understand origin, dependencies, and impact. Automated flow scanning provides a clear map of data connections across your environment. End-to-end AI lineage extends that to runtime — tracing how AI agents consume data, so you can audit, explain, and govern every decision.
With Agentic Data Intelligence, lineage becomes a conversational experience, allowing users and AI to quickly investigate dependencies and perform impact analysis before making changes to enterprise data.
Package trusted, contextual data as reusable data products — governed, discoverable, and ready for consumption by teams, applications, and AI agents. Built-in governance and lineage travel with each product, so every consumer operates on the same meaning and the same truth. Note: This is distinct from zero-copy data sharing, which is delivered by IBM watsonx.data.
And when your team needs a trusted, reusable data product fast, Agentic Data Intelligence enables you to create and publish it in minutes through natural language.
Solve your most critical data challenges
Give agents access to governed business and operational context so they can understand enterprise data, operate within policy boundaries, and deliver more reliable outcomes.
Understand how data is sourced, transformed, governed, and used across the enterprise to simplify compliance reporting and regulatory audits.
Continuously monitor data quality, identify issues earlier, and understand their impact across the data ecosystem by combining quality insights with business context and data lineage.
Real clients, real results
Lockheed Martin streamlined fragmented data across the enterprise through automated metadata discovery and cataloging, creating a trusted foundation for AI. This enabled teams to find, understand and access critical information faster, accelerating data-driven innovation across the organization.
Getting started