AI can’t interpret your data

Because your data lacks the context that makes it usable - for AI, for your teams, for your business

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IBM and Confluent technology deliver real-time data for AI agents
By combining Confluent with IBM technologies, businesses can turn continuously flowing data into trusted, governed action across hybrid environments.
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AI doesn’t fail from lack of data. It fails from lack of context.

Enterprise data is fragmented, inconsistent, and disconnected from the business context that makes it usable. AI can access this data, but without context, it can’t understand it—causing AI outcomes to fall short. This is true for AI agents and models, and it’s equally true for the teams who depend on data every day.

The missing piece is context — the meaning, relationships, lineage, quality, and governance that make data usable.
IBM watsonx.data intelligence creates this context at scale, so humans and AI can interpret, trust, and act on data with confidence:

  • Understand — Align metadata, business definitions, and lineage
  • Trust — Validate data quality, consistency, and compliance continuously
  • Control — Enforce governance, access, and policy at runtime
  • Scale — Deliver trusted data across teams, applications, and AI agents

With shared context, every data consumer—human or machine—can turn data into confident action

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The market agrees: Leader in 3 Gartner® Magic Quadrants™
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Augmented Data Quality
IBM named a Leader in the 2026 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions
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Metadata Management
IBM named a Leader in the 2025 Gartner® Magic Quadrant™ for Metadata Management Solutions
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Data & Analytics Governance
IBM named a Leader in the 2025 Gartner® Magic Quadrant™ for Data and Analytics Governance Platforms

How IBM watsonx.data intelligence scales context

Agents

Reason, orchestrate, and own outcomes across complex data intelligence tasks.

 Skills

Domain expertise agents draw on: metada enrichment, quality monitoring, classification, lineage tracing.

 Knowledge Accelerators

Automate the most labor-intensive context creation: discovery, business term assignment, classification, enrichment. 

 Smart made simple 

An intuitive, natural language interface helps users of any skill level access and leverage data. 

Scale context - for your business

Control how data is used

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.

 See how
By the numbers 110% productivity boost

Data stewards can increase their productivity by automating critical tasks that create high-quality, reliable and secure datasets.1 

 90% time saved by data engineers

By streamlining data management, data engineers can reduce the time they spend on optimizing processes.1

 95% time savings for data consumers

Self-service data solutions that discover, access and understand data can drastically reduce manual effort for data consumers.1
Ensure AI runs on trusted data

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.

 Discover more
By the numbers 110% productivity boost

Data stewards can increase their productivity by automating critical tasks that create high-quality, reliable and secure datasets.1 

 90% time saved by data engineers

By streamlining data management, data engineers can reduce the time they spend on optimizing processes.1

 95% time savings for data consumers

Self-service data solutions that discover, access and understand data can drastically reduce manual effort for data consumers.1
Give AI full context of data relationships

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.

 Start mapping
By the numbers 110% productivity boost

Data stewards can increase their productivity by automating critical tasks that create high-quality, reliable and secure datasets.1 

 90% time saved by data engineers

By streamlining data management, data engineers can reduce the time they spend on optimizing processes.1

 95% time savings for data consumers

Self-service data solutions that discover, access and understand data can drastically reduce manual effort for data consumers.1
Deliver trusted data products across the enterprise

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.

 Explore data products
By the numbers 110% productivity boost

Data stewards can increase their productivity by automating critical tasks that create high-quality, reliable and secure datasets.1 

 90% time saved by data engineers

By streamlining data management, data engineers can reduce the time they spend on optimizing processes.1

 95% time savings for data consumers

Self-service data solutions that discover, access and understand data can drastically reduce manual effort for data consumers.1
Control how data is used

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.

 See how
By the numbers 110% productivity boost

Data stewards can increase their productivity by automating critical tasks that create high-quality, reliable and secure datasets.1 

 90% time saved by data engineers

By streamlining data management, data engineers can reduce the time they spend on optimizing processes.1

 95% time savings for data consumers

Self-service data solutions that discover, access and understand data can drastically reduce manual effort for data consumers.1
Ensure AI runs on trusted data

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.

 Discover more
By the numbers 110% productivity boost

Data stewards can increase their productivity by automating critical tasks that create high-quality, reliable and secure datasets.1 

 90% time saved by data engineers

By streamlining data management, data engineers can reduce the time they spend on optimizing processes.1

 95% time savings for data consumers

Self-service data solutions that discover, access and understand data can drastically reduce manual effort for data consumers.1
Give AI full context of data relationships

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.

 Start mapping
By the numbers 110% productivity boost

Data stewards can increase their productivity by automating critical tasks that create high-quality, reliable and secure datasets.1 

 90% time saved by data engineers

By streamlining data management, data engineers can reduce the time they spend on optimizing processes.1

 95% time savings for data consumers

Self-service data solutions that discover, access and understand data can drastically reduce manual effort for data consumers.1
Deliver trusted data products across the enterprise

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.

 Explore data products
By the numbers 110% productivity boost

Data stewards can increase their productivity by automating critical tasks that create high-quality, reliable and secure datasets.1 

 90% time saved by data engineers

By streamlining data management, data engineers can reduce the time they spend on optimizing processes.1

 95% time savings for data consumers

Self-service data solutions that discover, access and understand data can drastically reduce manual effort for data consumers.1

 Webinars

Upcoming webinar
Build Context for AI and Power AI Data Analysis with watsonx.data intelligence
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Data Intelligence made simple: natural language insights with MCP
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Simplify data access with Text2SQL for your Data Product Marketplace.
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Explore how IBM is reshaping data discovery, access and management with AI-powered Intelligent Search and the Data Intelligence Assistant.
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Discover how IBM watsonx.data intelligence uses Gen AI to simplify data governance and improve data access.
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Learn how IBM automates data quality and helps track lineage to ensure trusted, compliant data.
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How IBM brings OpenLineage to hybrid data landscapes

Gartner Peer Insights™

Resources

Blog
Context engineering: The foundation for trusted agentic AI
Blog
Using unstructured data with IBM watsonx.data intelligence
Blog
The context gap: Why AI systems fail in the real world
Announcement
IBM expands OpenLineage Support with Native Producers in watsonx.data and watsonx.data integration

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Scale context - for your business.

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Footnote

¹ Examples presented are illustrative only. Actual results will vary based on client configurations and conditions and, therefore, generally expected results cannot be provided.

* This quote was selected from a range of publicly available GPI reviews.
(User reviews may have been obtained through an incentive)

Gartner® and Peer Insights™ are trademarks of Gartner, Inc. and/or its affiliates. All rights reserved. Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.