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Every organisation has a handful of AI pilots. But very few have scaled them.
The models are accurate. The vision is clear. But something’s always in the way; lack of infrastructure, unclear ownership, security concerns, or just plain fatigue.
This session is for teams that want to make AI more than a science project:
- What separates successful pilots from forgotten experiments? - What’s needed to make AI useful, not just accurate? - How do you go from enthusiasm to results, across teams, systems, and functions?
This is a conversation for people in the messy middle of the AI journey, those navigating the leap from promising prototypes to operational value.
