Speaker: George Linton – Chief Data Officer, Electrolux Group
Description
Most enterprise AI efforts do not fail because of a lack of ideas. They fail because the organization has not built the trusted data foundation, ownership model and governance needed to scale AI beyond pilots. This session shares how Electrolux Group is rewiring its approach to data and AI, moving from fragmented initiatives toward a more coherent enterprise model built on business-led AI lighthouses, reusable data products, federated ownership, responsible governance and a global Data & AI platform.
The session will explore how CDOs can connect business value, data products, governance and AI execution into one operating model, and will close with practical learnings from the Electrolux S&OP AI lighthouse to show how trusted data foundations translate into operational business impact.
Key takeaways:
- AI pilots are easy. Operational AI is hard. The real challenge is not generating ideas, but creating trusted data, ownership, governance and operating model that allow AI to scale across the enterprise.
- Three pillars, one system: business-led lighthouses to prove value, democratization to build workforce-wide capability, and platform/governance to make it sustainable
- Focus creates leverage: bounded, high-visibility initiatives concentrate talent and generate patterns that scale faster than broad, diffuse efforts
- Proof over promise: a live example from our S&OP AI lighthouse showing how the strategy translates into real operational results
