Data Layer Sessions:
Customer Data Infrastructure for 2026

Four on-demand sessions on building the customer data layer that powers real-time CX, measurement, and AI.

Watch the on-demand series Get a Demo

Why the data layer is back

The data layer has evolved from web tracking into the operating system for real-time experience delivery, powering measurement, identity, privacy, personalization, and AI. But most teams still struggle with the same fundamentals: inconsistent event standards, governance gaps, brittle implementations, and insights that don’t survive activation.
Session 1:

Why the Data Layer Is Back: Powering Conversions, CX, and AI Outcomes

A foundational view of how the data layer evolved and why it’s become critical for real-time decisioning, customer-centric engagement, and AI-ready signals.


You’ll Learn: The state of AI-powered CX, how AIStream works, and real-time activation use cases.

Watch Session 1
Session 2:

Data Layer Sessions: The Martech Evolution and What Comes Next

A clear lens on what’s reshaping the martech stack (and what’s hype), how operating models and measurement are changing, and why context engineering is becoming a differentiator.


You’ll Learn: How to optimize your datasets for AI, real-time compliance tactics, and fueling Data Cloud environments.

Watch Session 2
Session 3:

AI With a Purpose: Align Data Strategy to Business Outcomes at Global Scale with Giorgio Suighi, Global Lead, WPP Media

How global teams align AI initiatives to business strategy, avoid trend-chasing, and make cross-functional execution work, grounded in data orchestration and structure.


You’ll Learn: How to activate enterprise ML at scale and integrate insights across channels.

Watch Session 3
Session 4:

Context Is the Differentiator: Structuring First-Party Data for AI Success

Why first-party data without context fails, how governance prevents integrity loss, and how to stay platform-agnostic while supporting AI and analytics use cases.


You’ll Learn: How to deploy and scale GenAI, including chat, search, and sentiment use cases.

Watch Session 4

Who Should Join?

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Marketing Ops + CX Teams

Make customer signals consistent and usable across channels so personalization, lifecycle, and measurement stop depending on brittle workarounds.
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Data & Analytics Teams

Design event standards and data structures that hold up at scale. Improve trust in downstream reporting and make AI outputs more reliable with better context.
Data & Analytics Pros

IT + Architecture Teams

Build a governed, platform-agnostic customer data foundation that can adapt as tools change, without re-instrumenting everything every year.

Ready to make your data layer AI-ready and activation-ready?

If you’re rethinking your customer data foundation for 2026, we can show how Tealium helps teams standardize signals, govern responsibly, and activate in real time.

Get a Demo
9605 Scranton Rd. Ste. 600
San Diego, CA 92121
+1 (858) 779-1344
9605 Scranton Rd. Ste. 600
San Diego, CA 92121
+1 (858) 779-1344
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