AI is everywhere in digital advertising right now.

But as Brian Silver (EVP, Global Marketing Solutions at TransUnion) makes clear in this conversation — AI will not fix bad data.

If your identity resolution is weak…

If your data is fragmented across 16 systems…

If your enrichment strategy lacks depth and scale…

Then AI simply accelerates confusion.

In this episode of The Yield Doctor podcast, Brian and I go deep on:

Why the majority of AI initiatives fail due to poor data quality

Identity resolution as the foundation of revenue strategy

The growing power of publisher data in the ecosystem

Data enrichment and connectivity as competitive advantages

Why fragmentation in CTV and global markets still matters

How leading companies are using AI for propensity modeling and real business outcomes

The emerging risk of synthetic traffic and AI agents

We also revisit lessons from our Yahoo days and explore how the supply-side is beginning to rethink its leverage in a world dominated by demand-side scale.

If you are a publisher, ad tech executive, or marketing leader trying to prepare your organization for an AI-driven future, this conversation will challenge you to focus on fundamentals — not features.

Because in the end:

AI won’t fix bad data.

But high-fidelity identity, enrichment, and measurement can drive real revenue.

Learn more about TransUnion Marketing Solutions:

https://transunion.com/clarity

https://www.youtube.com/@transunion