Brian Smith | B2B Online Atlanta

B2B Online Atlanta 2026

November 9 - 11, 2026

Grand Hyatt Atlanta in Buckhead, GA

Brian Smith

Brian Smith

Director, Digital Transformation and eCommerce Nippon Sanso Matheson

Day 1

3:50 PM Oxford Style Debate: This House believes that for high-stakes enterprise e-commerce, AI-driven agents will provide a more objective, consistent, and trusted experience than human account managers by 2030

Every enterprise e-commerce leader is quietly making a bet right now: how much of the customer relationship do you hand to AI, and how much stays human? By 2030 that bet gets called. 

This session settles it on the main stage. We're replacing the safe, nod-along panel with a live Oxford-style debate. Two sides, one motion, real arguments under pressure: can AI-driven agents actually outperform human account managers on the things that matter most in high-stakes deals, objectivity, consistency, and trust? 

You'll hear the strongest case for each side, tested through structured cross-examination where claims don't get to hide behind buzzwords. Real-time audience voting before and after shows whether the room actually moved. The "Clockwork Schedule" keeps it fast, sharp, and free of the usual filibustering. 

Day 2

4:30 PM Panel Remix: Garbage In, Garbage Out: Why Your AI Dreams Demand a Data Reality Check

The harsh reality of modern e-commerce is that advanced AI tools will completely fail if they are built on a foundation of messy, disconnected product data. This panel cuts through the buzzwords to expose why mastering basic data hygiene and PIM is the mandatory prerequisite to any successful AI deployment. Discover how leading practitioners are scrubbing their legacy systems to prepare for an agentic future.

• Conduct a comprehensive audit of your product taxonomy and schemas before investing in shiny new AI search or chatbot tools.
• Leverage AI specifically for the heavy lifting of data mapping and normalization rather than deploying it solely as a customer-facing gimmick.
• Centralize your disparate data sources into a robust PIM system to ensure complete, accurate, and normalized attributes.
• Establish strict, top-down data governance policies to prevent fragmented silos as your product catalog and company scale.

Check out the incredible speaker line-up to see who will be joining Brian.

Download The Latest Agenda