---
title: "Customer Data in the Agentic Enterprise"
id: "97888"
type: "resource"
slug: "customer-data-in-the-agentic-enterprise"
published_at: "2026-10-19T14:01:18+00:00"
modified_at: "2026-10-19T14:01:18+00:00"
url: "https://tealium.com/resource/video/customer-data-in-the-agentic-enterprise/"
markdown_url: "https://tealium.com/resource/video/customer-data-in-the-agentic-enterprise.md"
taxonomy_resource_type:
  - "Video"
  - "Webinar"
taxonomy_product:
  - "CloudStream™"
taxonomy_topic:
  - "Data Layer"
  - "Data Orchestration"
  - "Data Orchestration & Enrichment"
---

Webinar

Video

# Data Cloud Week: Customer Data in the Agentic Enterprise

## How Snowflake and Tealium are changing the role of customer data in experience, intelligence, and growth Speakers: Logan Patterson, Managing Director - Customer Experience, Slalom Heather Roth, Senior Director - Customer Data, Slalom

Pick up a Truman and move him around.Pause wandering

In this session, Heather Roth and Logan Patterson explore how AI is transforming both sides of the customer experience equation; shifting customer interactions toward conversational, AI-mediated channels while fundamentally evolving internal enterprise workflows. They demonstrate how uniting Tealium (the real-time customer signal and activation layer) with Snowflake (the governed enterprise context and reasoning layer) creates a shared, trusted context layer. By bridging system-of-action interactions with warehouse-level enterprise intelligence, organizations can safely scale agentic workflows, govern autonomous decisions, and turn AI experiments into measurable, long-term business growth.

## Key Learning Points

- **The Dual Impact of Agentic AI:**AI is simultaneously reshaping customer-facing touchpoints (making interactions more conversational and contextual) and internal enterprise operations (enabling agents to interpret signals, automate tasks, and coordinate workflows).
- **The Trusted Context Layer:**Bridging real-time engagement and enterprise intelligence requires a shared context foundation—combining live user signals, identity, and consent with deep historical, operational, and financial data.
- **Complementary Roles of Tealium & Snowflake:**

- 
  - Tealium: Captures, governs, enriches, and activates real-time customer and agent interaction signals.
  - Snowflake: Establishes semantic views, deep analytics, and governed control planes where AI agents can safely reason and execute business decisions.

- **Pragmatic Action Over “Real-Time Everything”:** Not all customer data requires sub-second processing; success comes from intentionally identifying which specific signals truly need real-time speed vs. deeper warehouse context.
- **Governance, Policy, & Control:**Transitioning agents from simple Q&A tools to decision-making entities requires strict permission boundaries, consent orchestration, and continuous measurement connected back to business outcomes.
- Actionable Implementation Playbook: Focus on specific workflows or experience friction points, govern reusable data assets, align AI directly into existing customer data foundations, and continuously measure lifecycle impact.

## Featured Resources [Powered by Tealium](https://tealium.com/blog/teal-on-teal/how-we-used-our-own-stack-to-personalize-tealium-com/?db_surface=web&db_slot=0)

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