No smoke and mirrors; this is about provable lift, not demos. This cross-functional spotlight brings together leaders in creative technology, retail operations, AI-native strategy, and media & commerce to cut through the noise and focus on AI plays that actually move the P&L.

We'll look at how first-party data and real-time personalization show up across the customer journey, from the in-store associate to the next wave of agentic, autonomous commerce — and what it takes to scale AI, and navigate synthetic content, without diluting brand DNA, breaking customer trust, or blurring the line between real and AI-generated.

Angles of discussion:

Q1: What AI use cases are genuinely moving the P&L today, and what's still stuck in pilot purgatory?

Q2: What does it really take to get customer data in one place and prove, fairly, what's working?

Q3: How do personalized experiences scale across site, app, email, text and in-store clienteling without losing the human touch?

Q4: Personalization doesn't break at the touchpoint, it breaks at the seam. Where does that actually happen, and how do you fix it?

Q5: How can you trace a specific creative choice to a measurable customer response, and feed that back into future work?

Q6: As AI scales content and communications, how do you avoid flattening brand DNA in the process?

Q7: AI is shifting from a tool to an agent — autonomous systems acting on behalf of the brand and the customer. How does retail make sure that builds trust rather than eroding it?

Q8: What guardrails actually keep AI on-brand and compliant — especially as synthetic content blurs the line between real and AI-generated — and how do you prove the lift was real?