Dale Evernden

AI has fundamentally changed what leaders and product teams expect from innovation: rapid ideation, greater personalization, higher confidence — all at once. Insight teams are now expected to keep pace with a process that moves at machine speed. In this session, Oura and Rival Technologies argue that the answer isn't to run harder on the same treadmill — it's to build the infrastructure that makes the whole system faster and smarter. That infrastructure is the insight community: the living human context layer that grounds synthetic personas, sharpens outputs, and turns a research function into an engine for continuous innovation.

Key Takeaways:

1. Why the pressure to deliver faster, higher-quality insight is permanent — and what it demands from your research infrastructure

2. How synthetic personas accelerate and widen the innovation funnel, and why human community input is what makes those simulations trustworthy

3. How to build a self-improving AI research loop that compounds in value over time