Automate, Trust & Monitor: Building AI Ready Governance Foundation & Lineage for Unstructured Data

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As data environments become more complex—with sprawling pipelines, diverse systems, and growing volumes of information—ensuring consistent, trustworthy data is more critical than ever. Incomplete governance and fragmented lineage, especially around unstructured data, can undermine compliance, slow decision-making, and erode stakeholder confidence.

Join the live webinar on July 22 at 11 AM EDT to explore how AI ready data governance foundation and comprehensive lineage capabilities help organizations build a clear, unified understanding of their entire data ecosystem—including unstructured data assets. Learn how automated metadata enrichment, data cataloging, and granular access controls create scalable governance frameworks that enable both technical and business users to drive trust and transparency across all data types.

Key Takeaways:

End-to-end visibility: Trace the full lifecycle of data—structured and unstructured—from ingestion to consumption.
Integrated context: Combine technical lineage with business metadata and governance policies for a unified data view.
Enhanced unstructured data governance: Automate metadata capture, cataloging, and access controls for unstructured data sources.
Proactive risk management: Identify and mitigate compliance risks and data dependencies early in the data lifecycle.
Stronger trust & compliance: Improve data reliability and support evolving regulatory requirements across all data domains.

Speakers

Vishwas Balakrishna, Senior Product Manager, IBM Data Intelligence

Jakub Moravec, Product Manager, IBM Manta Data Lineage

Anish Patel, Program Director, Product Management, IBM Data and AI