The Future of AI in Customer Analytics: Chicago

Chicago · Monday, November 9, 2026 · 6:00 to 9:00 PM

What if your customer data could answer your questions before the dashboard even loads?

No waiting on an analyst. No SQL queue. No “let me pull that and get back to you.”

Join us after work in Chicago for an evening on how AI is changing the way marketing, CRM, analytics, and ecommerce teams work with customer data. This isn’t another panel about the future of AI. You’ll hear from leaders who are already using it in customer analytics, ask them the hard questions, and see a live workshop on a real analytics problem, with drinks, snacks, and dinner along the way.

What we’ll dig into

Going from a data question to an actionable finding in minutes, not days

Uncovering customer segments and behavioral patterns using plain language

Investigating the questions that matter most: engagement, redemption, retention, and growth

Making AI work alongside the analytics tools and workflows you already rely on

Closing the gap between “that’s an interesting insight” and “here’s what we’re doing about it”

How the evening works

6:00 PM, Welcome drinks. Arrive, grab a drink, and meet the other operators in the room.

6:20 PM, Intro and first Ask Me Anything. A quick welcome, then your first chance to put questions to a leader using AI in customer analytics.

6:30 PM, Workshop and live demo. We’ll work through a practical customer analytics challenge together and show how AI takes you from question to decision.

7:00 PM, Second round of drinks and snacks. Refill, mingle, and compare notes on what you just saw.

7:30 PM, Ask Me Anything, round two. More open conversation with our leaders, where the best questions of the night usually come out.

7:50 PM, Dinner and drinks. Sit down, settle in, and keep the conversation going until 9:00.

Bring a colleague and stay for the whole evening.

You’ll walk away with a clear picture of what changes when AI becomes part of your everyday analytics workflow, instead of one more tool sitting on the sidelines.

Who should come

Operators who turn customer signals into campaigns, across Marketing · CRM · Growth · Analytics & BI · Data · Ecommerce

Seats are intentionally limited so everyone gets room to participate, experiment, and ask the hard questions.