AI dominates boardroom conversations, but successful adoption is less about hype and more about foundations. In this session, Beyond and DFS will share a practical roadmap for sequencing data and AI initiatives, focusing on what to prioritise — and what to leave until later.

The story begins with DFS’s starting point: siloed data, manual reporting, and low trust. Through disciplined prioritisation, they established a unified data foundation that empowered store and operations teams with consistent, decision-ready insights. From there, DFS identified realistic AI opportunities — demand forecasting, personalisation, and supply chain optimisation — built on strong, trusted data.

Paul Alexander (Beyond) and Russell Harte (DFS) will demystify AI adoption, showing how to weigh business impact, readiness, and risk in deciding where to start. They will share candid lessons learned, a prioritisation framework, and an actionable checklist attendees can apply immediately.

The core message is simple: AI is only as good as the foundation you give it. Prioritisation turns noise into momentum.

DATAIQ WORLD CONGRESS

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