RainFocus CMO Ashleigh Cook on why events generate 800+ minutes of first-party data per attendee, and how AI-driven personalization is starting to change event ROI.
Gravity Global strategist Laura Forester on the DRIP framework (Data Rich, Insight Poor) and why turning data into narrative beats collecting more of it.
AbelsonTaylor’s Chief Creative Officer Janet Barker-Evans on why AI amplifies creativity instead of replacing it, and why great targeting has to dig into “why,” not just “who.”
Cedric Chereau of EagleAI explains why segment-based grocery marketing wastes budget in both directions, and how “segment of one” personalization built from loyalty data fixes it.
Julie Mattson of The Borderline returns to Deconstructing Data with a blunt playbook on founder mistakes: business goggles from AI-validated ideas, unrealistic financial projections, and why targeting too broad an audience kills early-stage marketing.
Cotera founder Tom Firth on why AI agents are replacing dashboards, what it really takes to break down data silos, and how to get your business data ready for AI in 2026.
RedTrack CEO Vlad Zhovtenko on why first-party data has become essential for media buyers, how AI is compressing analytical work, and why sending complete conversion data back to ad platforms matters more than ever.
Neil Sahota, CEO of ACSILabs and UN AI Advisor, explains why data hoarding creates drag instead of value, and why synthetic data is becoming the next major IP battleground.
Kat Wifvat, founder and CEO of Nuubi, explains how agentic AI tutors go beyond generic chatbots to catch struggling students early, and why student data privacy has to be non-negotiable.
Latha Sarathy of Salient HQ shares the data behind gender representation, the Bad Bunny halftime show, and why brand trust can’t be faked, only built through consistency.
