If You Want AI to Work, Start with Trusted Data

About this session

Zap CEO Christopher Reeves cuts through the hype to show what is actually required to unlock business-ready AI, drawing on more than twenty years in data and a hands-on interest in where AI genuinely helps.

Aimed at finance, IT and analytics leaders who want to reduce AI risk and accelerate deployment, starting with the data underneath it.

You’ll learn

• The three types of AI use case in business
• Why most AI fails, and how to fix that
• What Gell-Mann Amnesia teaches us about blindly trusting AI outputs
• The critical role of governance, structure and context in preparing your data
• Why data readiness is a leadership issue, not just an IT task

Part of the Zap ERP Reporting Series — practical sessions for teams who want to stop rebuilding reports and start operating from numbers they trust.