Your AI strategy has a blind spot.
Experience data is missing from your enterprise AI stack.
Walker's Unified XM approach puts it there—connecting Qualtrics signals with the operational and behavioral data in Snowflake so your AI models, agents and automations finally have the full picture.
Virtual Webinar Series
- Session 1: Overview + Connector Demo Wednesday, June 24 | 2:00–2:30pm ET
- Session 2: Use Cases 1 + 2 Friday, June 26 | 2:00–2:30pm ET
- Session 3: Use Cases 3 + 4 Tuesday, June 30 | 2:00–2:30pm ET
Join the Series
Register once and receive calendar invites for all three sessions. Can't make every session live? You'll get access to each recording after it airs.
Snowflake has the operational data.
Qualtrics has the experience data.
The work is connecting them.
Data teams are putting Snowflake's enterprise foundation to work—feeding Cortex AI, Snowflake Intelligence and the agentic workflows shaping how their businesses operate. In those build-outs, experience data is often the missing layer. Not because it isn't valuable. Because no one built the bridge.
When experience is missing from that layer, the signals get misread. Churn looks like a usage problem. Disengagement looks like a pricing problem. Without experience in the mix, the system acts on an incomplete picture—and the misdiagnosis scales at a cost to the business.
Walker's Unified XM approach bridges the experience and infrastructure conversations. The work starts with one outcome, one use case, one proof point. Then it goes further.
From raw data to AI-ready experience signal.
Walker works inside Snowflake environments to make experience data a functional part of your enterprise AI stack. We start with one use case, prove the value and build from there—not a multi-year program, just a focused first move that earns the next one.
Nothing here requires a rip-and-replace. We work with your existing stack, your existing team and whatever's already in flight.
Data Foundations
Clean, governed and structured experience data—ready to move between systems and feed the models and agents that depend on it.
- Data cleaning and normalization
- Data organization and governance
- Architecture design and planning
Analytics + Modeling
Text analytics, predictive modeling and exploratory analysis that turns experience signal into something your teams—and your AI—can act on.
- Text analytics and NLP
- Exploratory data analysis
- Predictive modeling and ML
Integration + AI
Platform integrations, semantic layer configuration and agent design that put experience data to work inside your existing stack.
- Qualtrics and Salesforce integration
- Semantic layer training for AI agents
- AI agent design and planning
Four use cases. Real architectures.
Industry examples you can take back to your team.
We're not here to talk about potential. We're here to show you what's working now—and what's coming fast.
A complete health picture—by account, location or product.
Snowflake cleans, organizes and aggregates financial and operational data by account, location or product. Qualtrics joins the experience layer. The result is a single, actionable health score no single system could product alone. One view. Actual signal. Right now.
AVAILABLE NOW VIA CONNECTOR
Predictive scores that make your Experience Agents smarter.
Run a churn or retention model in Snowflake. Pass the score to Qualtrics at the right record level. An Experience Agent uses it to trigger the right follow-up—personalized, in the moment, before the customer walks. No manual intervention. No waiting.
AVAILABLE NOW VIA CONNECTOR
Experience data as a native input for Cortex AI.
As experience signals flow from Qualtrics into Snowflake—joining the operational and behavioral data already there—Cortex AI gains something it hasn't had before: a complete picture of what customers actually experience, not just what they do. The analyst queries, recommendations and intelligence that come out of it change meaningfully. See it in action through Snowflake CoWork.
One data layer. Every agent in your stack.
The same Unified XM data layer, exposed via a Snowflake MCP server. Any AI agent—whether it's Snowflake Intelligence, a human-guided workflow or an autonomous process running on a schedule—can query it, reason over it and act on it. The demo we show will use Claude as the agent of choice but sub in whatever your enterprise prefers. Experience data, finally operating at the speed of everything else.
Bring yourself. Bring your data counterpart.
This isn't a session for people still deciding whether to connect their data. It's for the ones who know they need to—and want to see exactly how Unified XM makes it possible.
Chief Data Officer / VP Data & Analytics
Experience signals are the missing layer in your enterprise data stack. Here's what they unlock—and how to get them in.
VP of Customer or Employee Experience
You understand what customers need better than anyone else in your organization. Make sure that understanding is shaping your AI strategy—before someone else's data does.
Head of Voice Customer / Insights
You've been reporting on experience for years. This is how you start activating it—inside the systems driving automated decisions and agent behavior.
Chief Product Officer / VP Product
What users feel shapes what they do next. Your product data layer should know that.
Data team already attending the Snowflake Summit? Invite them to join this virtual session, post conference.
If you have a data or analytics colleague in San Francisco that week, this session will build on what they learn on-site. The demo and use cases are built to make the technical case and the business case simultaneously—the Unified XM story lands differently when both sides of your organization hear it together.
"AI is going to make decisions about your customers. The question is whether the systems feeding it understand what they actually need—or just what they clicked."
WALKER - UNIFIED XM
The first webinar session begins Wednesday, June 24.
Don't miss out.
Submit your interest now and our team will be in touch.