Toronto World-Forum Features DQ -doesn’t just showcase AI hype—it puts a spotlight on Trusted Data Quality as the real foundation underneath GenAI, RaptorDB, and Workflow Data Fabric .

Register for Toronto World Forum (Free)

👉 Register now for Toronto World Forum
🗓️ Thursday, December 11, 2025 | ⏰ 8:30 a.m.–5:00 p.m.
📍 Automotive Building, Exhibition Place, 105 Princes’ Blvd, Toronto

Your free registration includes:

• Inspiring World Forum keynote
• 35+ breakout sessions with new Zurich features and practical how-to content
• Full Expo access
• Hands-on CreatorCon AI labs
• ServiceNow User Group (SNUG) community meetups

👉 Add “ServiceNow Data Quality” and Cognizant to your must-see list to learn how to turn your ServiceNow roadmap into trusted, GenAI-ready value.

Zurich → Toronto World-Forum Features DQ: Turning GenAI Hype into Trusted ServiceNow Outcomes

At Toronto World Forum, you see Zurich’s features come alive as Cognizant helps wire GenAI, Workflow Data Fabric, RaptorDB, and Data Quality Workspace into real CI/CD pipelines and enterprise roadmaps. In doing so, Toronto proves that in an AI-everywhere world, only trusted data wins.

Why Zurich + Data Quality Matter Now

The Zurich release gives us more GenAI, more Workflow Data Fabric, and more RaptorDB power than ever. However, industry research shows why Data Quality must rise with it: poor data quality costs organizations an average of $12.9M per year and up to 15–25% of annual revenue.

“In a GenAI world, eloquent data hallucinations are cheap. Verified data is our only protection.”

Gartner predicts at least 30% of GenAI projects will be abandoned by the end of 2025 due to bad data, weak controls, and unclear value. In other words, if your data isn’t ready, your AI won’t be ready either—which is exactly why Zurich + ServiceNow Data Quality Workspace evolve together.

Protecting the GenAI Foundation demo Toronto World-Forum Features DQ

Building on the momentum from Chicago, New York, the Toronto World Forum brings Data Quality into one powerful foundation demo premiering in Toronto.

When you stop by the ServiceNow Data Quality (DQ) experience, you’ll see DQ extend and strengthen GenAI, RaptorDB, and Workflow Data Fabric. As a result, you can trust the data that powers executive dashboards, customer demos, machine learning models, and Now Assist.

Then, as you scale analytics, accelerate GenAI pilots, and roll out Workflow Data Fabric, one question matters:

“How good is my data before I use it?”

The Toronto Data Quality demo answers that in real time. It shows you how to proactively profile, score, and govern data quality at the source—instead of discovering bad data in a board meeting or through a broken customer journey and loss of trust.

Chicago: More Data. More AI. Faster.

The Chicago World Forum story asked a simple question: How do we go faster, safely, with more data and more AI?

• First, Workflow Data Fabric and RaptorDB Pro become the backbone for real-time ServiceNow analytics.
• RaptorDB Pro unifies ops and analytics, so you run complex queries on live ServiceNow data, not slow exports.
• Meanwhile, Workflow Data Fabric gives you zero-copy access to Snowflake, Databricks, BigQuery, and more. You query data where it lives and orchestrate workflows end-to-end.

As a result, dashboards stop acting like rear-view mirrors. They become AI-driven decision engines for:

• Real-time incident, asset, and risk views
• Live product usage and adoption dashboards
• Event-triggered workflows bound to trusted, current data

Then, AutomatePro AutoTest keeps pace. It automates regression tests across environments and CI/CD pipelines, so every change ships tested, trusted, and GenAI-ready—at more scale and faster speed, without sacrificing control.

Customer proof:

• McDonald’s showed how ServiceNow + RaptorDB + workflow data turn “ticketing” into a transform–operate–innovate model.
• Northwestern Medicine used Now Assist in Incident Management to cut MTTR and compliance risk on top of accurate incident and CMDB data.

Together, Chicago proved that Data Quality + Workflow Data Fabric + RaptorDB Pro can turn ServiceNow into a real-time, AI-ready nervous system.

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New York: U2, NHL, and Raptor Power

Next, New York pushed the vision further with the U2 Customer Dashboard and high-scale operations like the NHL. This is where many leaders said, “Oh, so THIS is the power of Raptor—and how much more we can do.”

U2 Customer Dashboard: Trusted Data + Workflow Data Fabric

The U2 Customer Dashboard showed what happens when you align data quality and AI:

• Workflow Data Fabric unifies usage, telemetry, and entitlements in one zero-copy intelligence layer.
• RaptorDB-backed tables deliver near real-time, cross-domain analytics.
• Now Assist Analytics turns static tiles into conversational insights on adoption, risk, and customer value.

Because U2 runs on normalized, governed data, its AI summaries feel like trusted product intelligence, not guesses.

NHL on ServiceNow: 32 Arenas, One Trusted Platform

Meanwhile, the NHL story showed how trusted data plus AI-native workflows truly scale:

• Every night, 32 arenas and up to 16 games generate massive operational data.
• ServiceNow then connects incidents, operations, and fan experience into one trusted platform.
• AI-ready workflows continually predict issues, protect the fan experience, and keep operations resilient.

As a result, every game becomes live proof that clean data + explainable AI workflows = better outcomes.

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Human-Centered RaptorDB powered AI: More Speed, More Checks, More Trust

New York closed by emphasizing human-centered AI: UX, Data Quality, and governance must move together for AI to be trusted.

So, the equation becomes simple and powerful: Trusted UX + Trusted Data + Checked AI = Trusted AI at speed.

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Non-Hallucinated GenAI! Toronto World-Forum Features DQ Application

Now we anticipate how Toronto completes the trilogy. On December 11, 2025, ServiceNow Data Quality Workspace steps into the spotlight and turns “Trusted ServiceNow Data” into something you can measure, fix, and prove.

Data Quality Workspace: Trusted ServiceNow Data for GenAI

The Data Quality App and Workspace make Toronto’s Trusted Data empowers:

• Profile key tables (Incident, Change, CMDB, CSDM, Asset, HR) for accuracy, completeness, consistency, timeliness, and uniqueness.
• Score and track data quality metrics in dashboards and scorecards tied to business outcomes.
• Turn rule violations into work—incidents, tasks, and remediation workflows—so data debt becomes visible, owned, and fixable.

Today, studies show that 40%+ of AI decision-makers see data quality as their top blocker and 90%+ say unstructured data slows GenAI. Therefore, this launch matters. Data Quality Workspace finally gives Workflow Data Fabric and RaptorDB Pro a first-class, on-platform Data Quality engine for non-hallucinated, explainable AI.

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Value Propositions from World Forums

Forum & Theme	Demo Highlights	GenAI / Data / DQ Capabilities	Business Value (Why It Matters)	Practical Next Steps
Chicago: GenAI Test Library & CI/CD Speed	AutomatePro AutoTest + AutoDoc with Cognizant; no-code test library; auto-validated upgrades and clones.	Write once, run everywhere tests; GenAI-assisted test creation; automated regression in CI/CD; tests and docs from the same assets.	Ship more changes, faster and safer; cut manual testing; make upgrades and clones predictable and repeatable.	Start an AutomatePro pilot; convert top manual tests; plug AutoTest into CI/CD for critical apps.
New York (U2): Real-Time Customer Insights on Raptor + WDF	U2 Customer Dashboard; Workflow Data Fabric + RaptorDB + Now Assist Analytics; NHL operations as proof.	Zero-copy data access; near real-time, cross-domain analytics; conversational insights on usage, risk, and value.	Turn ServiceNow into a customer intelligence engine; see live adoption and value; support execs with explainable AI.	Pick priority customer dashboards; design a WDF + Raptor model; enable Now Assist Analytics on governed data.
Toronto: Data Quality Workspace & Non-Hallucinated GenAI	Data Quality Workspace debut; profiling Incident, Change, CMDB, CSDM, Asset, HR; DQ scoring and remediation flows.	Profile, score, and track DQ; turn rule breaks into tasks; align DQ metrics to outcomes; feed clean data into GenAI and analytics.	Remove the #1 AI blocker – bad data; stop hallucinations before the boardroom; prove “GenAI you can explain, on data you can prove.”	Launch a DQ Workspace pilot on 3–5 tables; set target DQ scores; wire DQ breaches into remediation workflows.
World Forum (All): Trusted Data, Explainable AI, Confident Change	Integrated story: AutomatePro + Cognizant + Workflow Data Fabric + RaptorDB Pro + Data Quality + Now Assist.	GenAI-ready tests and data; real-time, zero-copy analytics; on-platform DQ; governed, auditable AI.	Build a trust engine, not just AI demos; scale more, faster without losing control or credibility.	1) Automate testing & delivery (AutomatePro + CI/CD). 2) Unify & accelerate analytics (WDF + Raptor). 3) Harden trust with DQ Workspace and AI governance.

Cognizant: Where Trusted Data Meets Real Delivery

Alongside AutomatePro, Cognizant turns the World Forum vision into reality. As a Global Elite ServiceNow partner and the first partner to bring Workflow Data Fabric to market, helping clients move from ideas to outcomes, leveraging deep design and implementation expertise in:

• Data Quality Workspace and Workflow Data Fabric architectures.
• RaptorDB and AI governance for complex, regulated, multi-region programs.
• Automated Agile testing, documentation, and delivery using AutomatePro AutoTest + AutoDoc (as showcased in their joint AI-driven DevOps sessions with AutomatePro).

Next, Cognizant helps architect, implement, and scale trusted-data platforms that:

• Power AI-ready analytics and high-value GenAI use cases.
• Run CI/CD pipelines with embedded, no-code regression tests, so every change ships safer and faster.
• Produce evidence-rich documentation for audits, training, and change management—automatically, as part of the flow.

In short, Cognizant partners with you to use Workflow Data Fabric, GenAI, Data Quality, and automated testing where it matters most—in production, at scale, and in front of your executives.

Other Toronto ServiceNow’s Trusted Data Resources

• Build ServiceNow Data Fabric
• RaptorDB for Data Owners
• ServiceNow World Forum Chicago 2025
• ServiceNow World Forum London 2025
• ServiceNow World Forum Munich 2025
• ServiceNow World Forum NYC 2025