From Complexity to Confidence-A Modern Data Strategy in Action

AI promises speed, scale, and competitive advantage - but only if organizations can trust and explain the data behind it.

As regulation tightens and AI moves into high-impact decision-making, data lineage has shifted from a technical afterthought to a business-critical capability. Yet many organizations still rely on manual documentation or basic catalog- only lineage that can’t keep pace with modern, complex data environments.

In this joint masterclass, Solidatus and Nicola Askham explore what data lineage needs to become in the age of AI.

What we covered:

• Why data lineage is foundational to AI trust, governance, and explainability
• Where lineage fits within data governance and AI governance
• How organizations are using lineage beyond compliance, including AI and data products
• The limitations of manual and catalog-only lineage approaches
• Regulatory and business expectations across financial services, insurance, pharma, and beyond

You’ll also see a live “Zero to Lineage” demo, showing how lineage can be created, explored, and maintained dynamically, supporting both regulatory demands and AI-driven use cases.

Who should view the webinar: 

Data & analytics leaders, data governance professionals, enterprise and data architects, and risk & compliance teams - particularly those responsible for AI, regulatory compliance, or complex data environments.