Join Hitachi Solutions, Trusenta, and DataWyse for session two of a four-part webinar series on Data & AI Governance at Pace. Learn how to make AI data trustworthy by finding the dark data hiding in your estate, building lineage and quality, and turning it into evidence you can confidently stand behind.
Picture the board meeting. The chair turns to your data leader and asks a simple question: “Show me the governance on the data feeding our AI model, the classification, lineage, and quality record.” In most organisations, that question can’t be answered. It’s not due to poor decisions, but because the governance layer behind the AI was never built.
Between 73% and 80% of enterprise data has never been classified, catalogued, or assigned an owner, and much of it is already feeding AI systems. AI doesn’t fix this; it amplifies the problem by producing automated outputs from unverified data.
This session is the practical answer: helping you find your dark data, build lineage as a new audit trail, govern quality as a measurable discipline, and meet the regulatory obligations now taking shape.
Key Takeaways:
- Where your dark data is hiding, and how to prioritise what to classify first
- Why lineage has become the audit trail boards and regulators ask for (demonstrated step by step in Microsoft Purview)
- How to govern data quality as a measurable discipline, not a technical afterthought
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
Meet our Speakers:
- Richard Evans – Sales Director (Hitachi Solutions)
- Mark Miller – Principal Consultant (Trusenta)
- Paul Townsend – Co-founder & Sales Director (DataWyse)
Three experts. One integrated outcome.
- Hitachi Solutions – Microsoft transformation and implementation
- Trusenta – Governance and operating model design
- DataWyse – Data products, readiness, and platform execution
AI only delivers value when the data behind it is trusted, governed, and fit for purpose. Session 2 shows you what that looks like and gives you the tools to start.
Can’t make it live? Register anyway. We will send you the recording, the takeaway pack and an interactive walkthrough of the Purview demo once they are available.
For enquiries, drop us a message at [email protected].
Missed Session 1? Catch the on-demand recording to see why companies with AI governance put 12x more projects into production.
Up next, The Data Inside the Machine explores how to govern AI agents and multi-model environments at scale. In the final session, Data Governance as the Operating System for AI at Scale, brings it all together with a practical model to scale AI with confidence.
Stay tuned!