The research industry stands at an inflection point. While generative AI captures headlines, the real transformation is happening with agentic AI. These autonomous systems don't just generate content, but execute complex research workflows end-to-end. This shift promises to resolve the fundamental tension between speed and depth that has plagued insights professionals for decades.
Through analysis of pioneering implementations across industries—from Unilever's AI-powered consumer insights to Mastercard's real-time sentiment analysis, alongside our own customer examples—this presentation reveals three emerging models for AI-human collaboration in research. We'll examine what works, what fails, and why some organizations achieve breakthrough results while others struggle with "AI theater."
Attendees will gain a practical framework for navigating this transformation, understanding where to invest, what to avoid (actual examples of where we have failed with clients), and how to position research functions as strategic growth engines rather than cost centers facing automation.
Speakers: