We run public webinars and invite-only briefings that bring together practitioners, leaders, and curious operators who want real, research-grade answers from AI — not hype. Our events cover two core topics that matter to every research-driven organization: the dangers of synthetic respondents, and how to automate rigorous statistical analysis at enterprise scale.
This session explores how AI agents and a decision augmentation platform were used to automate statistical analysis across enterprise-scale datasets. In a recent engagement with a consumer services organization, a task that once required a full research team was completed by a single analyst using the StatGenius platform. By combining cluster analysis, correlation mapping, and other advanced techniques, the system generated a comprehensive set of insights—while also guiding junior analysts through expert-level reasoning.
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In this session, we’ll pull back the curtain on how synthetic panels actually work from a technical perspective, why their outputs can’t be trusted as real consumer data, and how vendors are exploiting misconceptions about AI to sell questionable insights. We’ll also explore emerging technologies that use proven mathematical, evidence-based approaches for generating insights from your mountains of existing data — without relying on black-box models or marketing buzzwords. If you’re a research leader, data scientist, or insights professional who values rigor over hype, this is a session you won’t want to miss.
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Read more about our firm stance against synthetic respondents here: Stop Synthetic