Enhancing Ad Performance through Sequence Learning

In this episode of the podcast, I speak with Matt Steiner, Meta's Vice President of Monetization Infrastructure, Ranking & AI Foundations, about the application of AI to the company's advertising platform.

Among other things, we discuss:

• How ad ranking and selection are done at Meta
• The evolution and functionality of Meta's various AI-enabled ranking and selection tools, from Lattice to Andromeda to GEM
• The core architecture of Meta's advertising-focused AI models
• What's next on Meta's roadmap concerning the application of AI to advertising
• How and whether talent is a moat for any business applying AI to it advertising platform

Thanks to the sponsors of this week’s episode of the Mobile Dev Memo podcast:

• INCRMNTAL⁠⁠. True attribution measures incrementality, always on.
• ⁠⁠⁠Clarisights⁠⁠⁠. Marketing analytics that makes it easy to get answers, iterate fast, and show the impact of your work. Go to⁠⁠⁠ clarisights.com/demo⁠⁠⁠ to try it out for free.

Interested in sponsoring the Mobile Dev Memo podcast? Contact ⁠Marketecture⁠.