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.
Propel Software’s Tom Shoemaker explains why product failures usually trace back to a data handoff gap between engineering and go-to-market teams, not the engineering itself.
Alkemi co-founder Connor Folley explains why most companies’ AI struggles come down to fragmented data and locked-down access, not data volume, and what that means for the future of data analysts.
Pivotree’s Keith Gorney on why fast delivery isn’t a last-mile problem, it’s a data trust problem, and how AI is starting to reshape supply chain decisions.
Eugina Jordan, CEO of YOUnifiedAI, explains why 10-15 disconnected business tools are quietly killing deals, and why data cleansing only works when it’s tied to a specific workflow, not done for its own sake.
Guy White, CEO of Catalyx, breaks down why purchase-intent surveys barely correlate with real buying behavior, and the three-stage data framework his team uses to make product innovation predictable.
Lunar founder Dominic Bonaker explains why last-click attribution is built to flatter ad platforms, and how scientific attribution ranks touchpoints by what actually drives conversions.
Brainlabs’ Andrew Littlewood on why brands are now fighting for LLM citations instead of search rankings, and what data-driven creative advertising looks like in 2026.
Birdzi CEO Shekar Raman on how AI-driven personalization, unified data, and trust-based loyalty are helping grocery retailers rebuild the corner-store relationship at scale.
Cimin Ahmadi Cohen, founder of Idea Peddler, traces the attribution illusion back to collapsing match rates, junk audience data, and platforms with no financial incentive to clean up their own inventory.
