IBM watsonx.data intelligence demos

Learn how AI-powered insights help identify trends, uncover risks, and enable a more proactive, data-driven approach to governance.

See AI agents in action—using skills and the SDK to create data quality dashboards, consolidate catalog assets, and identify data product candidates.

See how IBM Bob queries trusted lineage in watsonx.data intelligence to deliver accurate impact analysis in minutes.

Deliver instant impact analysis using Open MCP to surface downstream dependencies directly inside your development workflow.

Discover how AI makes managing and understanding data simple and fast.

Watch AI instantly surface the right data so you can act with confidence.

Learn how to quickly create business glossaries by using the power of AI.

Learn how to configure and export data lineage from IBM watsonx.data intelligence to Collibra.

See how AI uncovers hidden connections across all your enterprise data.

Explore how AI automates quality checks to ensure data that you can trust.

See how AI delivers instant answers you can trust to guide decisions.

Get a full view of how your data moves and transforms across systems.

Fuel collaboration by making trusted data easy to share and access.

Quickly connect assets, curate details, and publish ready-to-use data products.

Tailor properties and relationships to hide irrelevant fields—simplifying catalogs and reinforcing governance.

Build trust in your data with complete visibility. Trace every flow and change to prove compliance and turn the data into an asset, not a liability.

See every connection before you act. Map pipelines, predict ripple effects and make confident updates that keep data and decisions flowing smoothly.

Trace errors to their source in seconds. Map every dependency to resolve issues quickly and restore confidence in your data.

Learn how to classify and govern unstructured data assets at scale.

Build and execute SQL-driven checks to track data accuracy, validate outputs and ensure dependable results.

See how IBM enables a data analyst to discover, integrate, analyze, and publish trusted data products through Agentic Data Management — transforming a simple business question into reusable organizational intelligence.

Discover the root cause of data issues faster with watsonx.data intelligence, using lineage-powered analysis to identify upstream changes, assess impact, and accelerate resolution.

Learn how watsonx.data intelligence accommodates platforms like Confluent by synthesizing runtime events through Open Lineage with code-based lineage into a single, connected view of how data moves.

Learn how AI agents connect through an MCP server to watsonx.data intelligence to generate precise SQL from business questions.

Learn how to enable versioning and revision tracking for data governance artifacts.

See how the Data Intelligence Agent streamlines data discovery, lineage analysis, and preparation, turning complex data tasks into simple, conversational workflows.

Discover how data contracts ensure Gold Zone data products are validated, enforceable, and ready for enterprise use.

Use Open MCP to quickly discover data assets, analyze lineage, improve quality, and publish products—regardless of technical skill.

Build complete end-to-end lineage with flexible mappings that represent any system and connect data flows across your environment.

Visualize complete data flows with data lineage to investigate quality issues, trace violations, and identify root causes.

Choose from healthcare, energy, insurance, financial services, or cross-industry vocabularies to fit your data governance strategy.

See how teams publish, manage and share data products in one hub.

Watch how data movement and transformations are automatically mapped.

See how to monitor and remediate data quality issues automatically.

Explore how governance policies and access controls ensure compliance.

See how lineage helps identify data quality issues.

Adapt artifacts with custom fields to add context and ensure compliance.

Simplify governance by automating workflows that manage tasks, approvals and audit trails.

Tailor assets and connections to enrich context, streamline discovery and align governance.

Connect to diverse data sources, import metadata, and manage assets seamlessly for efficient data operations.

Use prebuilt quality rules to standardize validation, strengthen data reliability and accelerate trusted insights.

Automate enrichment, classification and curation to improve metadata quality and enhance data governance.

Experience how IBM watsonx.data intelligence transforms raw data into actionable insights — all in one platform. From rich visualizations to deep analysis and fast decisions, see how your data can work smarter and deliver impact at scale.

Learn how data quality rules are automatically explained to help users understand rule intent without reading technical logic.

Explore how Unstructured Data Curation transforms documents into AI-ready data through automated classification and entity extraction.

See how Text to SQL supports the full lifecycle, from natural language queries to published, governed data products in the Data Product Hub.

Learn to package and share reusable data products for teamwork.

Master defining and managing policies across your data estate.

Import, enrich and govern documents to ensure quality, lineage and trusted AI insights.

Automate metadata, policies and lineages to secure, classify and confidently govern critical data at scale.

Trace root causes, assess downstream impact and activate enriched metadata to maintain data quality at scale.

Automate policy enforcement across operational systems to ensure compliance and data protection.

Import, enrich and trace unstructured data from source to insight with embedded lineage and metadata.

Unify lineage, contracts, and synthetic data to build governed, self-service data products at scale.

Enable discovery, subscription, and lifecycle governance to turn enterprise data into actionable products at scale.