
Online Webinar
Be Data Confident
Build confidence in your AI strategy.
Thursday 5th November 2026
11:00am – 12:00pm
This event is a webinar
Discover how better governance, quality, security and compliance can help you build confidence in your AI strategy.
AI is moving faster than ever, creating exciting opportunities for innovation and growth. But many organisations are rushing ahead without addressing a critical question:
Can you trust the data behind your AI?
Successful AI adoption depends on more than models and cutting-edge technology. Without trusted, high-quality, secure and well-governed data, even the most ambitious AI initiatives can struggle to deliver value and impact.
What you’ll learn
Join Simpson Associates data governance expert and Microsoft MVP Victoria Holt for a practical webinar exploring what it means to be truly data confident in the age of AI. Together, we’ll examine the challenges organisations face as AI adoption accelerates, and the steps required to build confidence in the data powering your strategy.
We’ll cover:
- How to assess whether your organisation’s data is truly AI-ready.
- The biggest governance gaps preventing successful AI adoption.
- How governance, quality, security and compliance work together to create trusted data.
- What data confidence really means in an AI-driven organisation.
- Real-world examples of how governance enables innovation and confidence across sectors.
- Your next steps for creating a scalable foundation for trusted AI and becoming data confident.
Whether you’re under pressure to deliver quick AI wins, exploring new AI use cases or looking to maximise existing investments, this webinar will help you understand the foundations needed for responsible, scalable AI adoption.
Ask yourself: How confident are you that the data being used by your AI tools is accurate, governed and secure?
If you’re not completely sure of the answer, this webinar is for you.
Register now!
Speakers

Victoria Holt
Presales Data Governance Specialist, Simpson Associates and Microsoft MVP