AI adoption is accelerating—but most enterprises are still mid-maturity when it comes to data governance. Without strong foundations, organizations risk untrustworthy AI outputs, compliance gaps, and missed opportunities.
In this webinar, TDWI’s Fern Halper and AtScale CTO Dave Mariani share new research from TDWI’s 2025 Data Governance Maturity Model and discuss practical strategies for evolving governance to meet the demands of GenAI, semantic layers, and agentic AI.
What You’ll Learn
✅ How enterprises score on governance maturity across processes, accountability, and tools
✅ Where organizations struggle most—and how to close the gaps
✅ Why governance is critical for scaling AI responsibly
✅ Best practices for aligning semantic layers, metadata, and governance
✅ How to prepare for future trends like fairness detection and AI ethics councils
Why Watch
Enterprises can’t afford apathy toward governance. This session shows how to strengthen your strategy, build trust in your data, and put the right guardrails in place for AI success.
Speakers
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Fern Halper – VP & Sr. Research Director, Advanced Analytics, TDWI
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Dave Mariani – Founder & CTO, AtScale
