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High-trust AI case study: How Curion generates critical insights from unstructured feedback

Can you trust AI to generate critical insights? While it may seem ironic, one of the biggest benefits of AI for insights leaders is to better understand how consumers really feel and why at scale. But researchers also need to know they can trust AI to deliver true and unbiased analysis. In this session you’ll hear how AI is being used to generate critical insights from unstructured consumer feedback across several key use cases, from research community feedback to unlocking core insights value from survey open-ends. The session will explore the intersection between AI magic and trust and the opportunity to learn about AI’s real-world application in market research and insights. Gain knowledge on how to harness AI to foster customer empathy and accelerate your own insights discovery process.

Key takeaways:
1. Real-world adoption of AI-powered insights across three key research use cases.
2. How generative AI can be used to accelerate insights discovery, bringing a narrative-first approach to insights discovery.
3. Understand the “trust-magic matrix” of generative AI for market research and how to achieve high-trust AI insights.


Speakers: