Data quality is foundational to AI readiness, regulatory compliance, and trusted decision-making in increasingly complex enterprise data environments.

IBM’s vision responds to this complexity by bringing together metadata, governance, and data quality within watsonx.data intelligence. This unified approach helps organizations overcome fragmentation, improve visibility and control, and shift from reactive remediation to continuous data trust.

Why IBM for augmented data quality:

·       AI-driven automation to scale data quality workflows

·       Support for both structured and unstructured data

·       Integrated data governance to enable trusted AI outcomes

·       Enterprise-ready scalability across hybrid and multi-cloud environments

Read the full report to learn why IBM is recognized as a Leader in the 2026 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions.

Gartner, Magic Quadrant for Augmented Data Quality Solutions,
By Sue Waite, Divya Radhakrishnan, Amy Bickel, 11 February 2026

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