Season 7, Episode 9: RecSys and internet commerce (with Michael Komasinski)

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 OpenAIWhether agentic commerce will transition from assisted shopping to fully autonomous purchase decisions without human oversightHow recommendation systems based on purchase data outperform large language models in providing accurate product discoveryIf retailers will eventually trust AI agents to manage complex fulfillment and brand trust in conversational environmentsWhy the integration of semantic language models and high-volume reward algorithms defines the future of digital commerceCriteo GO, Criteo's automated advertising platformHow the partnership between specialized advertising technology and generative AI platforms will reshape the global discovery layerThanks to the sponsors of this week’s episode of the Mobile Dev Memo podcast:⁠⁠INCRMNTAL⁠⁠⁠. True attribution measures incrementality, always on.Xsolla⁠. With the Xsolla Web Shop, you can create a direct storefront, cut fees down to as low as 5%, and keep players engaged with bundles, rewards, and analytics.⁠Branch⁠. Branch is an AI-powered MMP, connecting every paid, owned, and organic touchpoint so growth teams can see exactly where to put their dollars to bring users in the door and keep them coming backInterested in sponsoring the Mobile Dev Memo podcast? Contact Mobile Dev Memo advertising.