Join our community roundtable: Data Readiness for Enterprise AI

Every enterprise is under pressure to move fast on AI. Fewer are asking the harder question underneath it: is our data actually ready for it? Governance frameworks built for reporting and compliance are now being asked to support AI models, and most were never designed for that job.

We’re bringing together four data strategy leaders for a candid, practitioner-level conversation on what data readiness really looks like as AI adoption accelerates. We will tap into how these leaders inside real enterprises are thinking about quality, stewardship, and risk as the ground shifts under them.

Panelists:

Divya Vardha- Data Governance Leader, Suntory

Shirley Wu- Enterprise Data and AI Governance Manager, Ulta Beauty

Frances Stoor- Data Strategy Lead, Jackson

Habib Basiri- Sr. Director of Product Management – AI & Data Core, SAP

What we’ll dig into:

Where data strategy and governance programs are holding up under AI pressure and where they’re not. How leaders are prioritizing data quality and stewardship work when everything feels urgent. What “AI-ready data” actually means in practice, versus what gets claimed in a boardroom slide. How responsibility for data readiness is shifting across data, IT, and business teams.

This is a working conversation for people who own this problem day-to-day, not a highlight reel. If you’re a data or governance leader wrestling with how to get your organization’s foundation ready for AI, come listen in.

Hosted by DataQG.

Turning Data and A.I. Strategy into People Strategy.