Why your architecture fails at data
The problem isn't your model. It's data that's fragmented and siloed across systems, with no shared meaning, so inconsistencies pile up.
Live webinarOn-demand webinar
Data governance vs. AI Governance: Is It the Same Thing?
This keynote will explore the intersection—and divergence—between traditional data governance and the emerging discipline of AI governance.
400+ data leaders registered
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What you'll learn
Stop building. Start connecting what you already have.
Most organizations think they need a bigger data model. They don't. They need governance, constraints, and integration. This session shows you how.
Speakers
Meet your speakers
The three people running this session, no vendor slides, no generic frameworks.The three people who ran this session, no vendor slides, no generic frameworks. They've lived this problem inside Fortune 500 organizations and built the solutions that actually work.
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Agenda
45 minutes. No filler.
Every minute is built to give you something you can act on. We skip the slides-for-the-sake-of-slides and get straight to the substance.Every minute was built to give you something you can act on. Jump to the part you need.
0:00
Why your AI initiatives keep stalling at data
The shape of the context problem, and why more data models rarely fix it.
6:00
The context-layer audit: what you already have
A structured framework to inventory your existing semantic assets, and see where you're already closer than you think.
18:00
From siloed assets to shared infrastructure, a real case
A practitioner walkthrough of how one global pharma turned its existing terminology investments into a working context layer.
30:00
Governance as the unlock, not a blocker
Why constraints and governance are exactly what make semantic assets usable, for AI and for people.
42:00
Live Q&A
Submit questions when you register, or ask live. The panel answers directly.The questions the audience asked on the day, answered directly by the panel.
Why TQ
Why organizations trust TQ
Two decades of enterprise semantic infrastructure, built before "knowledge graph" was a buzzword.
53+
Enterprise customers, including Fortune 500 life sciences, financial services & media
20yrs
Building enterprise semantic infrastructure
50%
Average reduction in data-wrangling time reported by pharma customers
3×
Improvement in terminology-management efficiency at a leading healthcare org
Testimonials
David A.Corporate Data Architect, Fortune 100
Sarah B.Head of Data Governance, Major Bank
Marcus A.VP, Data Infrastructure, Global Enterprise
From teams who've done it
The people who turned scattered semantic assets into governed, AI-ready context.
"We had ontologies, terminology files, and metadata standards scattered across 12 teams. TQ turned it into something we could actually govern and build on."
David A.Corporate Data Architect, Fortune 100"This went far beyond the usual webinar. No fluff, just the real questions answered directly. It reshaped how we think about our data assets."
Sarah B.Head of Data Governance, Major Bank"Within six months, our AI teams stopped asking where the authoritative definitions lived. That alone was worth it."
Marcus A.VP, Data Infrastructure, Global Enterprise
Trusted by Leading Enterprises