AI, Personalization, and Privacy: Striking the Right Balance
The AI Advertising Podcast · StackAdapt
Audio is streamed directly from the publisher (episodes.captivate.fm) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
Consumers expect personalized ad experiences, but they also demand stronger privacy protections. So how can advertisers deliver relevant ads while staying compliant with evolving privacy laws?
In this episode, we explore how AI-driven personalization is reshaping advertising—and the challenges of balancing relevance with ethical data use.
Our expert guests break it all down:
- Ned Dimitrov (VP of Data Science, StackAdapt) – On AI-powered contextual personalization and the cookieless future
- Yang Han (CTO, StackAdapt) – On navigating privacy regulations in different verticals and jurisdictions
- Carole Lawson (Chief Data Officer, MarketStorm) – On ethical data collection and how brands can ensure consumer trust
AI is transforming how ads are tailored to audiences—but where should advertisers draw the line between personalization and privacy?