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Bryn
Harrington
Product Marketing
Oura
Bryn Harrington is a futurist growth and product marketing leader with a track record of launching and scaling impactful consumer tech products in global markets. With expertise in consumer insights, storytelling, and go-to-market strategy, Bryn specializes in understanding diverse audiences, identifying key pain points, and crafting solutions that drive long-term adoption and engagement. She excels at translating the voice of the customer into compelling product narratives and growth strategies. By leveraging data-driven insights and innovative messaging frameworks, she builds omnichannel campaigns that enhance product adoption and customer retention. Her approach integrates strategic storytelling with measurable execution, ensuring that marketing efforts drive both immediate traction and sustained growth. Passionate about the intersection of technology and human behavior, Bryn is dedicated to building meaningful consumer experiences that not only meet customer needs but also create lasting impact in the marketplace.
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11 September 2025 10:15 - 10:45
Beyond the hype: AI and personalization at ŌURA
In a world where personalization is increasingly commoditized, ŌURA is pushing beyond surface-level AI features to deliver deeply human, actionable insights powered by cutting-edge machine intelligence. This keynote offers a behind-the-scenes look at how ŌURA leverages Agentic AI and LLMs to build product experiences that don’t just inform—but influence user behavior at scale. From intelligent ecommerce search and adaptive in-app messaging to LLM-powered coaching moments that drive real user engagement, you’ll hear how AI is embedded not as a feature, but as a strategic growth engine. Key takeaways: - Walk away with a clear understanding of Agentic AI and LLMs—and how they’re shaping the future of personalized health tech. - Learn how to apply AI-driven personalization tactics (like smart search and tailored messaging) to your own product strategy. - Gain actionable frameworks to position and launch AI-powered experiences in ways that resonate with real users, not just data scientists.