Watch the first session in our four-part webinar series on Data & AI Governance at Pace, organized by Hitachi Solutions, Trusenta, and DataWyse.
In this session, we explore why most enterprise data is not yet AI-ready, what it truly means to govern data as a product, and how organizations can build the right operating model to ensure AI investments deliver safely and consistently.
If your organization is activating Copilot, Dynamics AI, Microsoft Fabric, or custom AI use cases, the critical question becomes: Is your data trusted, classified, governed, and fit for purpose?
Without a strong data foundation, AI doesn’t just scale productivity. It can also scale risk.
Key Takeaways:
- Why most data estates weren’t designed for AI and what needs to change
- What it means to treat data governance as a true operating model shift
- How to establish ownership and accountability across your data estate.
- How effective governance accelerates AI adoption and drives more use cases into production.
This session is designed for leaders responsible for:
- Driving AI and data strategy on Microsoft platforms
CIOs/CDOs leading Copilot, Dynamics 365, and enterprise AI adoption - Ensuring secure, compliant and governed AI data usage
CISOs and privacy leaders managing access, risk and compliance - Building trusted data foundations and analytics
Data leaders improving quality, stewardship, and using Purview & Fabric - Scaling AI adoption and business transformation
Transformation leaders enabling AI use and confidence
Three experts. One integrated outcome.
- Hitachi Solutions – Microsoft transformation and implementation
- Trusenta – Governance and operating model design
- DataWyse – Data products, readiness and platform execution
Watch the session on-demand and start building the data foundation your AI initiatives require to scale with confidence.