Season 7, Episode 9: RecSys and internet commerce (with Michael Komasinski)
About this episode
The episode explores the role of recommendation systems in AI-driven commerce with guest Michael Komasinski from Criteo.
On this week's episode of the podcast, I am joined by Michael Komasinski , the CEO of Criteo , to explore the rapidly evolving landscape of agentic commerce and the critical role of recommendation systems in the AI era. We delve into how Criteo is positioning itself as a commerce intelligence layer for AI assistants and the technical distinctions between large language models and purpose-built recommendation engines. Among other things, we discuss: Criteo's recently announced advertising partnership with OpenAI Whether agentic commerce will transition from assisted shopping to fully autonomous purchase decisions without human oversight How recommendation systems based on purchase data outperform large language models in providing accurate product discovery If retailers will eventually trust AI agents to manage complex fulfillment and brand trust in conversational environments Why the integration of semantic language models and high-volume reward algorithms defines the future of digital commerce Criteo GO , Criteo's automated advertising platform How the partnership between specialized advertising technology and generative AI platforms will reshape the global discovery layer…
Sponsors
INCRMNTAL, Xsolla
More episodes of Mobile Dev Memo Podcast
- The Prosperous Society, Part 3: The Collapse of the Pareto Principle
- Season 7, Episode 13: Google navigates the AI advertising era (with Dan Taylor)
- Season 7, Episode 12: Considering the future of Section 230 (with Ben Sperry)
- The Prosperous Society, Part 2: The Human Nexus of Commerce
- Season 7, Episode 11: Understanding Unity's Vector (with Felix The)
- Season 7, Episode 10: Deploying AI personalization at scale
Explore listener stats, chart rankings, contacts and more on the Mobile Dev Memo Podcast podcast page.