Claravine to Host AI Readiness Roundtable and Live Demonstrations at Gartner Marketing Symposium/Xpo™ 2026

Claravine, The Data Standards Company™, will participate in Gartner Marketing Symposium/Xpo™ 2026, June 8–10 at the Gaylord Rockies Resort & Convention Center in Denver, Colorado. The company will host a roundtable for marketing leaders and run live demonstrations of its Data Standards Cloud at booth 333 in the Marketing Xpo.

The focus: how enterprise marketing organizations build AI readiness by standardizing taxonomies, naming conventions, and metadata at the point of campaign creation — so AI, attribution, and reporting all run on data the business can trust.

The AI data problem most teams aren’t talking about

According to a May 2026 Gartner press release, CMOs now allocate 15.3% of marketing budgets to AI — but only 30% of those organizations are ready to scale AI capabilities.¹ The gap isn’t primarily a tooling problem. Inconsistent campaign data is one of the main reasons AI initiatives stall before they deliver.

When teams across channels, regions, and tools can’t agree on what a campaign is called or how it’s tagged, AI models don’t fix that misalignment. They inherit it. And at the speed AI operates, bad data doesn’t just create messy reports — it compounds into production-scale errors that are harder to unwind.

“AI doesn’t fix bad data; it compounds the problem at production speed. The marketing teams seeing real returns from AI are the ones that govern their marketing metadata, its context, and its distribution, building the taxonomy foundation AI actually needs. That’s the conversation we’re having with CMOs in Denver: how to standardize taxonomy and metadata at the source so every downstream system inherits clean data.”

— Verl Allen, CEO, Claravine

What Claravine is offering at the event

Claravine will have four things available to attendees at Gartner Marketing Symposium 2026:

• Roundtable: “The AI Readiness Test Your Marketing Stack Will Fail — And How to Fix It.” Tuesday, June 9, 2026, at 2:45 p.m. MST in Cottonwood 10 at the Gaylord Rockies. A 45-minute working session on where AI initiatives stall when the underlying data isn’t standardized — and what to address first.
• Live product demonstrations of the Claravine Data Standards Cloud at booth 333, covering taxonomy management, metadata enforcement, and integrations with major marketing and analytics platforms.
• One-on-one consultations with Claravine solution experts for marketing analytics, marketing operations, and digital marketing leaders.
• Executive briefings on how enterprise brands are using data standards to support AI use cases, including media activation, attribution, and creative analytics.

Why marketing data standards matter for AI readiness

AI readiness for marketing isn’t just about selecting the right models or tools. It starts with the data those systems consume. When metadata arrives inconsistently — different naming conventions per channel, missing campaign IDs, taxonomy that varies by region — analysts spend time cleaning rather than analyzing, and AI outputs reflect the same fragmentation that created the problem.

Claravine’s Data Standards Cloud addresses this at the source. By standardizing how campaigns are defined, named, and tagged before they enter any downstream system, the platform gives AI, attribution models, and reporting tools something they can actually use: consistent, structured inputs that mean the same thing across every channel and team.

Claravine works with a global base of enterprise customers, including a quarter of the Fortune 100, who rely on the platform for exactly this. The use cases at Gartner will reflect what those teams have learned about where metadata problems surface and what fixes them faster than anything else.

Register or schedule in advance

About Claravine

Claravine is The Data Standards Company™. The company’s Data Standards Cloud provides marketing teams with the foundation for AI readiness and optimization: standardized taxonomies, naming conventions, and metadata applied at the source, so the data feeding reporting, attribution, and AI systems is consistent and accurate from the start. Learn more at claravine.com.